Dewan Rakyat yesterday approved the Immigration (Amendment) Bill 2025 and the Passports (Amendment) Bill 2025, setting the stage for a more modernised immigration system that relies on automation and secure data management to speed up clearance times for both Malaysians and foreign visitors. According to Deputy Home Minister Datuk Seri Dr Shamsul Anuar Nasarah, the […] The post Malaysia Approves Immigration Amendments Introducing Advance Screening, Biometrics appeared first on Lowyat.NET.  ( 36 min )

The Xiaomi 17 Ultra is a yet-to-be-released variant in the brand’s flagship smartphone lineup. While Xiaomi has yet to divulge details on the device, the rumour mill has been steadily churning out leaks as usual. This time, images of what appears to be the handset have emerged online. The device depicted in the pictures sports […] The post Xiaomi 17 Ultra Allegedly Spotted In The Wild appeared first on Lowyat.NET.  ( 36 min )

The AI industry entered December 2025 with headlines that paint a fascinating paradox: billion-dollar valuations alongside slashed sales targets, explosive user growth meeting commercial skepticism, and groundbreaking capabilities colliding with legal landmines. Behind the noise, three fundamental forces are reshaping what comes next. This isn't another listicle of AI announcements. Instead, let's decode the interconnected dynamics that explain why AI's trajectory is far more nuanced than either the hype or doom cycles suggest. OpenAI CEO Sam Altman reportedly declared "code red" after Google's Gemini gained 200 million users in just three months. This isn't corporate theater—it signals a fundamental shift in competitive dynamics. For years, OpenAI enjoyed first-mover advantage with ChatGP…  ( 8 min )

Demo YouTube Click the image to watch the demo video. This project was built for Kiroween, a Halloween-themed hackathon hosted by AWS celebrating their AI coding agent Kiro. The challenge: build something creative with Kiro in under a month. For me, it was truly fumbling in the dark—my first online hackathon, no video production experience, working solo in Japanese while submitting everything in English. MairuCLI is an educational CLI wrapper that detects and blocks dangerous commands. "Mairu" (参る) is a Japanese word meaning "to be troubled" or "to be defeated." It's also a wordplay on "Kiro." When you enter a dangerous command in the CLI, a Halloween-themed warning appears and teaches you why it's dangerous. Key Features: 🔥 11 Dangerous Pattern Detection — rm -rf /, chmod 777, d…  ( 13 min )

How I Built an AI Personal Safety & Emergency Assistant Using Multi-Agent Systems The 5-Day Google & Kaggle AI Agents Intensive Course was one of the most transformative learning experiences I’ve had. I came into the course excited but unsure about how complex multi-agent systems really work. By the end, I built a complete AI Personal Safety & Emergency Assistant—a multi-agent emergency detection system that analyzes risk, triggers alerts, and assists users during dangerous situations. This post is a reflection on what I learned, how the course changed my understanding of agentic AI, and how I built my capstone project. Before this course, my idea of “agents” was very basic. But the training revealed how powerful AI agents are when combined: Day 1 — The Fundamentals I learned the found…  ( 8 min )

Why I Think Most AI Tools Don’t Deserve to Be SaaS Jaideep Parashar ・ Dec 4 #ai #saas #cloud #api  ( 7 min )

Linux servers power a majority of enterprise workloads — from on-premise data centers to cloud platforms like AWS, Azure, and GCP. While Linux is inherently secure, misconfigurations, weak access controls, and inconsistent patches often expose organizations to cyber threats. Today’s threat landscape includes ransomware attacks, privilege escalation exploits, kernel vulnerabilities, and misconfigured cloud workloads. Hardening Linux environments is essential for protecting data, minimizing attack surfaces, and ensuring compliance such as CIS, NIST, PCI-DSS, and ISO-27001. This article explains industry-proven best practices for securing Linux systems across enterprise and cloud environments. ⸻ 🔹 1. Keep Systems Updated and Patch Regularly Unpatched systems are the most common cause of sec…  ( 8 min )

Modern wellness has a strange habit: we take ancient remedies that were once deeply personalized, strip away the personalization, put them in a bottle, and congratulate ourselves for “being natural.” In Ayurveda, every remedy is built on context — your constitution (Vata, Pitta, Kapha), your imbalance, the season, the digestive strength, and even the delivery medium. When you blur all of that, the effect of a remedy can swing from therapeutic to utterly useless. This is exactly where AI can do what humans realistically won’t: track hundreds of variables in real time and make a precise recommendation without requiring anyone to memorize 5,000 years of nuance. Let’s take two classics: turmeric and ashwagandha. To the supplement industry, these are static objects: “anti-inflammatory,” “adapto…  ( 8 min )

A few weeks ago, we had one of those production incidents that quietly start in the background and explode right when the traffic peaks. Aurora MySQL, a Lambda with a 30-second timeout, and a poorly-designed cache invalidation strategy that ended up flooding our database. Here’s the story, what went wrong, and the changes we made so it never happens again. The night before the incident, we upgraded our Aurora MySQL engine version. The next morning around 8 AM, our daily job kicked in — the one responsible for: deleting the stale “master data” cache refetching fresh master data from the DB storing it back in cache This master dataset is used Application to work correctly, so if the cache isn’t warm, the DB gets hammered. Right after the engine upgrade, a specific query in the Lambda suddenl…  ( 9 min )

As AI becomes more involved in software development, an important question appears. How should software be shaped so that AI tools can contribute meaningfully Modern AI systems can assist with coding and refactoring, but they often struggle when a codebase is large and many parts depend on one another. Future models may read far more context at lower cost, yet even with those improvements there is practical value in shaping software as a collection of smaller self contained units. AI tools tend to perform better when the area they work on is narrow and clearly defined. This usually means: one clear responsibility minimal unnecessary dependence on other parts predictable logic behaviour that can be tested or understood on its own When these properties exist, intent becomes clearer, misunder…  ( 8 min )

day 1 of the kubernetes CKA study journey - the first lesson in the KodeKloud video is on etcd - so today we're chatting about et-see-dee! etcd is basically a highly available, distributed, reliable key-value database that is simple, secure, and fast. This is important because etcd stores all the cluster information and whenever you use kubectl get , the API is querying the etcd database. It stores information regarding the cluster including nodes, pods, configurations, secrets, accounts, roles, role bindings, etc. There are many types of databases and etcd is a key value one for the purpose of being very quick to search and retrieve information (high performance), although this also means it doesn't handle really complex queries like a SQL database might. You can, however, store c…  ( 7 min )

In modern IT environments, where businesses demand higher reliability, rapid deployment, and zero downtime, manual server administration is no longer enough. Linux administrators today must manage hundreds or thousands of servers spread across hybrid cloud environments. Repetitive tasks, configuration drifts, and inconsistent patching often lead to downtime and significant operational costs. Automation has emerged as a critical solution to these challenges. Among the available tools, Ansible has become the most widely adopted due to its simplicity, agentless architecture, and powerful automation capabilities. This article explains how Linux automation using Ansible can drastically improve uptime, scalability, and operational efficiency in enterprise environments. ⸻ 🔹 The Challenges of Tr…  ( 8 min )

I just finished building FrankenStack for the Kiroween hackathon, and honestly… Kiro completely flipped my entire dev workflow on its head. Every time I need to connect two different APIs—say Stripe webhooks → Shopify GraphQL—I end up writing hundreds of lines of glue code. Field mappings Error handling Retry logic Authentication Boilerplate hell Last month it took me 4 hours to hand-roll one adapter. I found 9 bugs during testing. Pain. I kept thinking: Enter Kiro When the hackathon dropped, I thought Kiro was just another AI code assistant. Kiro isn’t about generating code… It forces you to think in specs, architecture, and clarity before you even touch code. Specs Changed How I Think About Code** Before Kiro: After Kiro: Here’s an actual spec I wrote: adapter: code_structure: generation…  ( 8 min )

"We're saving 135 hours per month just in our marketing team." That's what the VP of Marketing told me about their AI document workflow. Not theoretical savings. Real, measurable time back in their day. But here's what struck me: they're not unique. Across every industry I researched, organizations are seeing 30-40% productivity improvements from AI document tools. Legal teams cutting contract review time by 80%. Healthcare providers reducing documentation burden by hours daily. Financial analysts getting through reports in minutes instead of hours. This isn't future technology. It's happening right now, and the gap between early adopters and laggards is widening fast. Let me show you exactly how different industries are using AI PDF chat—and the ROI they're seeing. Corporate attorney, use…  ( 11 min )

Introduction For many businesses, repetitive tasks take up a lot of time. Preparing monthly reports, consolidating data from different sources, cleaning messy spreadsheets, reconciling numbers, and updating performance metrics are just a few examples. What if most of this work could be automated without investing in expensive software? Though often seen as a basic spreadsheet tool, Excel remains one of the most powerful and accessible automation platforms available. As of 2025, somewhere between 1.1 and 1.5 billion people globally use Excel. In addition, more than half of businesses worldwide continue to rely on Excel or spreadsheets for core tasks. This shows that Excel is not just a “nice to have”; it is deeply embedded in business workflows. This makes it a perfect candidate for autom…  ( 9 min )

more-shadcn-svelte: A UI component library that extends shadcn-svelte with advanced UI components not in the core registry. Key features: ⚡ Built on Svelte 5 Runes with $state, $props, and $derived 📦 Install through shadcn-svelte CLI instead of npm packages 🔒 Full TypeScript support with strict prop typing ✨ Components ship with animations and micro-interactions 🎨 Source files land in your project for direct customization The library includes Autocomplete, Tag Input, Color Picker, Stepper, Image Zoom, Number Ticker, and about 20 other components. Works with your existing shadcn-svelte setup. 👉 https://next.jqueryscript.net/svelte/advanced-more-shadcn-components/ 👉 GitHub Repo 👉 Live Demo  ( 6 min )

I am documenting the Agentic Development Principles that currently guide my team and me. This post is Part 1, focusing on maximizing effective human-AI collaboration when using LLMs as development assistants, ensuring we build products efficiently and safely. Agentic Development refers to the practice of using AI agents as collaborative partners in the development process. This approach requires the intentional design of specialized workflows, clear feedback loops, and well-defined decision boundaries. Integrate AI tools directly into the coding environment to deliver instant suggestions and error checking, minimizing context switching and delays. This maximizes value-added time and aligns with B3: The Batch Size Feedback Principle. Failure Scenario: A team uses an AI code completion tool …  ( 8 min )

Evolving Excellence: Can AI Design Algorithms Better Than Us? Stuck wrestling with complex simulations that demand superhuman accuracy? Tired of endless trial-and-error to find the perfect solver? What if we could delegate the algorithm design process itself to a team of AI agents? Imagine a system where AI agents, each specialized in a different aspect of algorithm design, collaborate to autonomously develop, test, and refine numerical methods. Think of it as a pit crew for algorithms, rapidly swapping out components and configurations until the optimal solution emerges. This approach utilizes a hierarchical, evolutionary process where agents explore vast design spaces, guided by pre-existing knowledge and performance feedback. At its core, this paradigm shift leverages a feedback loop…  ( 7 min )

Every day, we all run into small tasks that should take seconds — turning a PDF into a Word document, formatting messy JSON, picking colors for a UI, generating gradients, converting images, and so on. But instead of being quick and simple, these tasks often send us through: • websites full of ads, • login requirements, • pop-ups, or • slow, bloated interfaces. I was tired of jumping between five different sites just to complete basic tasks. So I decided to build something better. 👉 https://freealltools.site Whether you’re a developer, designer, student, freelancer, or casual user, FreeAllTools aims to be a simple place where you get things done instantly. Introducing FreeAllTools.site A clean, fast, multilingual toolbox designed for everyday tasks — with no login, no ads, and no frictio…  ( 7 min )

Monetizing AI Conversations: Unlock Sustainable Revenue Without Paywalls The biggest challenge in the AI landscape today? Monetization without killing user experience. As developers, we’re excited about the rapid expansion of AI applications, but many of us are grappling with how to create sustainable revenue models that don’t annoy our users. That's where Monetzly comes in—think of it as the Google Ads for AI conversations. AI apps are blossoming, but a common issue persists: how do we monetize effectively without imposing paywalls or subscription fees? Users expect free access to innovative technology; however, developers need to sustain their projects financially. This is a delicate balance, and it's often why promising AI apps struggle to thrive. Monetzly is a game-changer that allow…  ( 7 min )

I am Marilyn Alvarado. I am a Latina founder from Peru living in Silicon Valley. I have won grants from the City of San Francisco and raised funding from the NEAR Foundation, but there is one thing I am not: I am not a backend engineer. In the past, building a real-time, high-frequency trading platform for massive events would have required a $500k budget and a team of three senior developers. These days, I built it in 48 hours with $0 budget. 🛑 The Nightmare Scenario (The Problem) Google Maps is useless (it doesn't know which gate is actually moving). The Solution: You need a local hero. A valet parking at a nearby hotel who can take your car right now. 🧟‍♂️ The "Frankenstein" Architecture Most devs would say: "Rewrite everything in React." We stitched together two technologies that usu…  ( 8 min )

LocalTunnel Server Setup Documentation 1. Files 1.1 docker-compose.yml version: "3.8" services: lt-server: image: defunctzombie/localtunnel-server:latest container_name: lt-server restart: always ports: - "3000:3000" networks: - localtunnel-net command: bin/server --port 3000 --host 0.0.0.0 localtunnel-nginx: image: nginx:latest container_name: localtunnel-nginx depends_on: - lt-server restart: always ports: - "8081:80" volumes: - ./nginx.conf:/etc/nginx/nginx.conf:ro - ./site.conf:/etc/nginx/conf.d/default.conf:ro networks: - localtunnel-net networks: localtunnel-net: driver: bridge nginx.conf events { worker_connections 102…  ( 7 min )

Strategy Construction: The Art of Screening and Arrangement In-depth screening: Combine your application's core scenarios and solutions, and use professional tools to analyze search volume and competitive challenges. From the user's perspective, consider the keywords they might type to find your service. Scientific Combination: Prioritize core functional terms (e.g., "photo editing") paired with scenario or user identity terms (e.g., "for photographers") to create long-tail keywords. Add 1-2 high-traffic industry terms to boost exposure, but ensure they remain highly relevant. Smart Ranking: The algorithm prioritizes the most frequently searched and precisely matched core keywords. Apple's algorithm evaluates keyword relevance and weight, giving higher priority to top-ranked terms. Continuous Optimization: A Data-Based Dynamic Process Keywords are never a one-time fix. Regularly (e.g., quarterly) analyze each keyword's impressions and download conversion rates using' Search Performance 'data from' App Store Connect '. Discard keywords with' impressions but no conversions 'decisively, and test new potential keywords to establish a closed-loop' analysis-optimization-testing' cycle. In essence, the ultimate strategy for App Store keywords lies in Apple's compliance framework, where meticulously curated and optimized content achieves optimal alignment with user search intent. This is a perpetual data-driven game—only by combining precision strategies with continuous optimization can you stand out in the vast app marketplace, ensuring the right audience sees you at first glance.  ( 7 min )

Breaking News!!! 1️⃣ AWS and Google Cloud officially announced a jointly engineered multi-cloud networking solution, introducing a new open specification for network interoperability. 2️⃣ This collaboration brings together AWS Interconnect – multi-cloud and Google Cloud’s Cross-Cloud Interconnect, enabling customers to establish private, high-bandwidth, low-latency connectivity between both cloud providers with unprecedented speed, automation, and simplicity. 🌐Region Pairs Now in Preview Support begins with the following AWS ↔️ Google Cloud region mappings: US Regions • AWS us-east-1 → GCP us-east4 (N. Virginia) • AWS us-west-1 → GCP us-west2 (N. California ↔ LA) • AWS us-west-2 → GCP us-west1 (Oregon ↔ Oregon) Europe Regions • AWS eu-west-2 → GCP europe-west2 (London) • AWS eu-central-1 → GCP europe-west3 (Frankfurt) 🟢 This is a major shift in how enterprises can build true multi-cloud architectures, without the traditional complexity of physical circuits, manual routing, or long provisioning cycles. Connectivity can now be activated in minutes, fully managed by both cloud providers end-to-end. reinvent #multicloud #AWS #GoogleCloudCloudComputing #GCP #CloudNetworking  ( 6 min )

I got annoyed that even the minimum brightness on my laptop was too bright at night, so I built this script that uses logarithmic scaling to give you smooth 1% steps in the 0-5% range. Works on Hyprland/Omarchy (and probably other Wayland compositors with minor tweaks). https://github.com/mrdrbrdr/ultra-low-brightness Feedback welcome!  ( 6 min )

Testing SwiftUI used to feel confusing — views are declarative, state is reactive, and async code is everywhere. But now, testing SwiftUI is clean, predictable, and powerful, as long as you follow the right patterns. This guide covers: testing ViewModels testing async/await mocking services dependency injection testing navigation testing SwiftUI views UI tests (XCUI) snapshot testing Let’s level up your SwiftUI engineering discipline. 🚀 SwiftUI views are simple when ViewModels do the work. Here’s a typical testable ViewModel: @Observable class ProfileViewModel { var user: User? var isLoading = false let service: UserServiceProtocol init(service: UserServiceProtocol) { self.service = service } func load() async { isLoading = true …  ( 8 min )

The Korean venture firm’s 2026 thesis argues that stablecoins, AI agents, and on-chain credit markets are becoming the foundation of a real digital economy, with Asia emerging as the first region where enterprise adoption is taking shape.  ( 35 min )

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Hey folks! 👋 So I have a confession: I'm a bit obsessed with privacy-preserving systems. Last month, while reading ExpressVPN's white paper on their Dedicated IP architecture, I had one of those 3 AM moments where you think "wait... I could build this." Four weeks and way too much coffee later, I ended up with a fully functional zero-knowledge VPN system written entirely in Rust. And here's the cool part: the system literally cannot link your identity to your IP address, even if someone hacks the database or puts a gun to the server's head (metaphorically speaking, of course). Let me show you how it works. Traditional VPNs give everyone shared IPs, which is great for anonymity but terrible when you need to access IP-restricted services like banking, streaming platforms, or enterprise syst…  ( 11 min )

You've seen the demos. Type a prompt, wait 30 seconds, boom—professional video content. The promise? Never hire a video editor again. Scale your social presence infinitely. Turn your entire content calendar into video with the click of a button. Here's what they don't show you: the 47 attempts it took to get that perfect demo. The fact that 80% of AI-generated videos still look... AI-generated. The reality that scaling content isn't just about production speed—it's about maintaining quality, brand voice, and actual engagement. I've spent the last eight months testing every major AI video platform that's crossed my feed. Some are genuinely useful. Others are venture capital dressed up as software. Let me show you what actually works when you need to produce 50+ social videos a month without…  ( 12 min )

The AI agent ecosystem is growing quickly, and engineers often face confusion when selecting the right tools for experimentation, automation, or production workloads. This post provides a simple decision flow that helps you understand where each tool fits and how to choose the right framework for your current stage of development. Understanding the AI Agent Tooling Landscape The visual above outlines two practical categories of tools: experimental and production ready. Each category supports different goals, and choosing the correct one improves reliability, clarity, and long term maintainability. *1. Experimental Tools for Research and Exploration These tools are useful when you want to learn, test ideas, or explore new agent behaviors. AutoGPT, BabyAGI, and HF Transformers are strong c…  ( 7 min )

How to Deploy a Voice Agent for Medical Office Appointment Setting TL;DR Most medical office voice agents break when patients reschedule mid-call or ask about insurance. Here's how to build one that handles real appointment logic—not just "press 1 for scheduling." What you'll build: A HIPAA-aware voice agent that connects Twilio's phone infrastructure to VAPI's conversational AI, with function calling to your EHR system for real-time slot availability. Tech stack: Twilio Programmable Voice (inbound routing) + VAPI (NLP/TTS) + your webhook server (appointment logic). Outcome: Patients book, modify, or cancel appointments via natural conversation—no hold music, no "press 9 to repeat." API Access & Authentication: VAPI API key (obtain from dashboard.vapi.ai) Twilio Account SID an…  ( 16 min )

When working with JavaScript, understanding the difference between for...of and for...in loops is crucial for writing clean, efficient code. While they might look similar, they serve different purposes and work with different data structures. With Arrays: for...of gives you the actual elements for...in gives you the indices (as strings) const data = ['apple', 'banana', 'cherry']; for (let item of data) { console.log(item); } // Output: // apple // banana // cherry const data = ['apple', 'banana', 'cherry']; for (let index in data) { console.log(index); } // Output: // 0 // 1 // 2 With Strings: for...of gives you each char in the word for...in gives you the indices (as strings) const text = "hello"; for (let char of text) { console.log(char); // h, e, l, l, o } for (let index in text) { console.log(index); // 0, 1, 2, 3, 4 } With Objects: for ... of doesn't work directly with plain objects (This would throw an error) for ... in gives you key value for each element const person = { name: 'John', age: 30, city: 'NYC' }; // for...in works with objects for (let key in person) { console.log(key, person[key]); } // Output: name John, age 30, city NYC  ( 6 min )

The task is to find the elements that exist in both arrays, given two sorted arrays. The boilerplate code function intersect(arr1, arr2) { // your code here } Because the 2 arrays are sorted, both of them can be walked through at the same time. Start at the beginning of both arrays using two pointers let i = 0, j = 0; const result = []; Compare the current elements, if they are equal, it means an element present in both arrays has been found. while (i < arr1.length && j < arr2.length) { if (arr1[i] === arr2[j]) { result.push(arr1[i]); i++; j++; } } If the element in the first array is smaller, push that pointer forward. else if (arr1[i] < arr2[j]) { i++; } If the element in the second array is smaller, push that pointer forward else { j++; } Continue until the end of the array is reached. The final code function intersect(arr1, arr2) { // your code here let i = 0; j = 0; const result = []; while(i < arr1.length && j < arr2.length) { if(arr1[i] === arr2[j]) { result.push(arr1[i]); i++; j++; } else if(arr1[i] < arr2[j]) { i++; } else { j++; } } return result; } That's all folks!  ( 6 min )

I'll be honest, six months ago I was dreading opening my IDE. Every project felt like climbing a mountain in lead boots. The joy was gone. I'm a data engineer by day, managing complex pipelines and infrastructure at a healthcare ad-tech company. I've always had side project ideas, but the gap between "cool idea" and "actually building it" felt insurmountable. Learning new frameworks, debugging for hours, fighting with CSS, it all felt like work on top of work. Then I tried something different. I'd been skeptical of AI coding tools. Felt like cheating somehow. Like I should be able to build things "the right way," learning every framework deeply, understanding every line of code I wrote. But burnout doesn't care about your principles. So I grabbed Cursor IDE and Claude, picked a simple idea…  ( 8 min )

Looking for Technical Co-Founder: Upgrade running AI Recipe Platform + Blockchain Integration Together I'm seeking a technical partner (not a contractor) to co-found and build two revenue-generating projects with me. If you're looking for hourly rates, this isn't for you. If you want to build something real and share 50/50 in its success, keep reading. I'm Frederick, a freelancer-turned-founder from Belgium. I've built Flavoreer to the point where it has paying subscribers and an enterprise client, but I've hit the technical ceiling of what I can do alone. I need a technical co-founder who sees the potential and wants to grow this with me. Current Status: Live platform with paying subscribers ($1.99/month) 8,000+ recipe database (PHP/MySQL) Active users + enterprise client (supporting 2,…  ( 8 min )

When people first learn encryption, they imagine a simple system where one key locks data and another unlocks it. But real cybersecurity uses a much richer architecture: AES, RSA, ECC, TLS handshakes, cipher suites, key exchange algorithms, certificate validation, and more. This article breaks down these pieces and explains how real-world encryption protects data across the internet. Encryption turns readable data into unreadable ciphertext. With the correct key, it can be reversed. There are two types. Symmetric Encryption Uses a single key to both encrypt and decrypt data. The same key locks and unlocks the information. WiFi VPN Disk encryption TLS sessions AES A modern and very strong symmetric encryption standard. It is used everywhere today because it is fast and secure. DES An old …  ( 9 min )

Project Structure terraform-project/ │── main.tf │── variables.tf │── outputs.tf │── providers.tf │── terraform.tfvars │── modules/ │ └── ec2/ │ ├── main.tf │ ├── variables.tf │ └── outputs.tf └── README.md providers.tf Defines AWS provider + region. terraform { required_version = ">= 1.0" required_providers { aws = { source = "hashicorp/aws" version = "~> 5.0" } } } provider "aws" { region = var.aws_region } variables.tf All input variables. variable "aws_region" { description = "AWS region" type = string default = "us-east-2" } variable "instance_type" { description = "EC2 instance size" type = string default = "t2.micro" } variable "project_name" { description = "Tag for resources" type …  ( 7 min )

Parametrizando una sola condición En ocasiones, se necesita verificar el funcionamiento de cierto código que recibe un argumento, usando varios valores. La forma tradicional de hacerlo sería construyendo una colección y luego iterando sobre ellas. @Test("Even Value") func even() { let values = [2, 8, 50] values.forEach { value in #expect(value.isMultiple(of: 2)) } } Aunque la implementación anterior funciona, tiene algunas desventajas: En el reporte solo se muestra el resultado global de la ejecución de la prueba. Es decir: si se ejecutan 1000 escenarios y solo de uno de ellos falla, simplemente se muestra la prueba como fallida. No se puede repetir la prueba con una condición específica, sino que se tienen que ejecutar todas las iteraciones. Ante esta problemática, las prueba…  ( 9 min )

Ejecutar las pruebas de forma concurrente en XCTest es opcional y, de hecho, por defecto se ejecutan de forma serial. En cambio, en Swift Testing la ejecución es paralela por defecto. Aunque no está bien hecho, en ocasiones el arnés de pruebas debe ser ejecutado de forma serial. Muy probablemente esto se deba a que el código a probar tiene algún estado estático compartido entre las pruebas. Considerar la siguiente clase, State: class State { private static var numbers = [1, 2, 3] func add(number: Int) { State.numbers.append(number) } func add(numbers: [Int]) { State.numbers.append(contentsOf: numbers) } func removeLastNumber() -> Int? { State.numbers.popLast() } var count: Int { State.numbers.count } } Las siguientes pruebas muy probablemente fallarán: st…  ( 7 min )

Un proyecto puede tener cientos o miles de pruebas y suites. Cierto subconjunto de estas pruebas puede compartir alguna característica común como ser "crítico" o "inestable". La biblioteca de pruebas de Swift incluye un trait llamado tags para agrugar y categorizar pruebas. Las etiquetas (Tags) son distintas de las suites de pruebas: Mientras que las suites organizan las pruebas a nivel de código, los tags dan cierta información semántica a una prueba, que puede compartirse con otras entre las distintas suites, archivos o incluso targets de prueba. Una etiqueta es una instancia de Tag que se declara como una variable estática dentro de Tag con el macro Tag() que obligatoriamente debe existir dentro de una extensión de Tag para que pueda ser usada en las pruebas. extension Tag { @Tag stat…  ( 8 min )

Learn about the Shopify Shop Mini ecosystem and how to get started building Shop Minis with custom backends. TLDR: Shop Minis are custom, cross-merchant apps that enhance the buyer experience in Shopify’s Shop app. Gadget now has a template that handles authentication, session management, and data multitenancy for Shop Mini apps. Shopify recently announced Shop Mini apps, providing developers a way to provide shoppers custom experiences in Shopify’s Shop mobile app. I’m going to talk a bit about what mini apps are, what is unique about Shop Mini apps (compared to “traditional” admin-embedded Shopify apps), and how you can start building and submitting your Shop Minis. If you need a custom backend or database for your Shop Mini, check out the Gadget template and follow the README to start…  ( 10 min )

Para crear una "suite" de pruebas de XCTest se usa un código parecido al que muestro a continuación: import XCTest @testable import ProductionProject // class SomeXCTest_deprecated: XCTestCase { func testX() throws { // GIVEN // ... // WHEN // ... // THEN ... XCTAssert(A == B, "Expected \(A) but received \(B)") } } Si quisiera hacer la conversión a Swift Testing, lo convertiría así, donde puedo destacar el uso de struct en lugar de class, y el hecho de que se usa la etiqueta @Test en lugar del prefijo test. Por otro lado, notar el uso del macro #expect en lugar de XCTAssert. #expect evalúa una condición booleana que se muestra en el reporte de pruebas y que no interrumpe la ejecución del código en caso de que no se cumpla. import…  ( 8 min )

@kirodotdev # 🍅 Building a Pomodoro Timer That Cosplays: My ADHD-Fueled Kiroween Journey TL;DR: I built a Pomodoro timer that transforms into 5 different "costumes" - from 8-bit retro terminals to cozy coffee shops to RPG dungeons. All sounds are generated programmatically (no audio files!), and there's a secret easter egg in this post. Can you find it? 👀 Let me be real with you: I have ADHD, and traditional productivity tools bore me to tears. You know the cycle: Download a beautiful, minimalist Pomodoro timer Use it for exactly 2 days Get bored Back to scrolling Twitter during "focus time" The problem isn't discipline - it's novelty. My ADHD brain craves new experiences, but productivity requires structure. How do you balance both? While riding Uber these past few days (because appare…  ( 9 min )

A post by Jeenifer Beezer  ( 6 min )

Let’s be honest. Most developers — frontend and backend — suck at structuring data. Not because they’re stupid. Not because they’re lazy. But because the industry taught them to think in screens, not systems. Once you understand this, everything starts to make sense. Let’s break the taboo. Most devs start from a Figma screen or a quick whiteboard sketch — but rarely from actual business logic. They ask: “What JSON do I need for this response?” instead of: “What does the underlying domain really look like?” So the API becomes a reflection of the UI, not of the business. Your tables, models, and routes start to smell like: subtitle isCollapsed displayOrder object.with.20.levels.of.depth That’s not data modeling. That’s serializing your component tree. You know this one: { "user": {...}…  ( 8 min )

When I started my journey in software engineering, I spent a lot of time in the trenches of legacy web development. I maintained spaghetti PHP codebases, patched SQL injection vulnerabilities in systems used by thousands of students, and wrestled with the chaos of loosely typed languages. It was a necessary education. But it wasn’t the future. Today, as a Software Engineer based in Verona, I have pivoted entirely to the Microsoft Stack (.NET 9). Here is why I believe C# and Blazor are the only viable choice for building secure, scalable enterprise systems in 2025. In my early days of building automation scripts and web tools, “undefined is not a function” was a daily nightmare. In the enterprise world—where I now focus on CRM architecture—you cannot afford runtime errors. C# gives me the strictness I need. If the code compiles, it (mostly) works. The transition from legacy PHP to strongly typed C# changed the way I think about data. I don’t just move JSON around; I define Models, Contracts, and Interfaces. This makes the software predictable and secure by design. For years, “Full Stack” meant context-switching between a backend language (Python/Java) and a frontend framework (React/Angular). With Blazor WebAssembly, I write C# on the server and C# in the browser. I come from a background of low-level automation and WinAPI optimization. I care about milliseconds. There is a reason enterprise companies in Northern Italy (and the world) run on .NET. It is stable, it is fast, and it is mature. .NET Specialist. I don’t chase the JavaScript framework of the week. I build systems that last. I am Mehdi Ouassou, a Software Engineer and .NET Developer. You can view my portfolio and projects at mehdiouassou.it.  ( 7 min )

Building a ride sharing application looks simple on the surface. You see a map, a few buttons, and an estimate of the arrival time. Under the hood, though, you are dealing with real time geolocation, pricing logic, routing, payment processing, and safety features. All of this affects the final development budget. When founders or product owners ask “what is the typical cost to develop a ride sharing application?”, the honest answer is that it depends on scope, platform choices, and non functional requirements. Still, it is possible to outline realistic ranges and explain which decisions have the biggest impact on cost. A ride sharing product is usually not a single app. At a minimum, it consists of three main parts: passenger app driver app admin panel for operations and support Each part …  ( 9 min )

By Peace Thabiwa, SAGEWORKS AI Overview The MindsEye Hunting Engine is a production-grade backend system designed to analyze distributed system events, detect failures, group related occurrences, run investigations (hunts), and provide a simple public API for external developers. The goal of the MVP is simple: Public API Endpoint (Live) Debug Counts Endpoint: curl -X 'GET' \ https://x8ki-letl-twmt.n7.xano.io/api:Mx6Nh7jm/debug_mindseye_counts' \ Example Response: { "result1": { This endpoint confirms database health, dataset completeness, hunt readiness, event density, and annotation activity. Screenshots and Diagrams (Insert your images into each section below) Screenshot 1 — API Response Screenshot 2 — Function Stack Screenshot 3 — Workflow Canvas Diagram Screenshot 4 — Database Sch…  ( 8 min )

codesandbox.io  ( 6 min )

We live in strange times for developers. Until recently, our worth was often measured in hours spent deciphering cryptic documentation, fighting with dependencies, or figuring out why an API endpoint had suddenly changed its format. Today, I received definitive proof that the paradigm has shifted. Instead of wasting the afternoon configuring the new Google Places API, thanks to Gemini 3, I went for a relaxing walk in the park. It all started with a seemingly simple task: integrate the new version of the Google Places API into my project. Anyone who has worked with Google Maps APIs knows that the transition from "Legacy" to "New" isn't just a version upgrade; it is a shift in philosophy. The official documentation is vast, sure, but scattered. It talks about enabling the project on Cloud Pl…  ( 8 min )

Developing a new software product from scratch can feel overwhelming. Budgets are tight, timelines are aggressive, and expectations are high. Many teams struggle to balance speed with quality, often ending up with products that take too long to build, cost more than planned, or miss the market window entirely. The challenge is not just about writing code faster but about making smarter decisions at every stage of the development process. The good news is that modern development practices, tools, and frameworks have made it possible to build high-quality software products quickly without sacrificing reliability or user experience. By focusing on the right priorities, eliminating waste, and leveraging proven approaches, teams can deliver working products in weeks rather than months. The bigg…  ( 10 min )

You are at an airport, your flight is delayed, and the free Wi-Fi pops up. You tap Connect, your phone shows the little Wi-Fi icon, and you are scrolling in seconds. No alarms, no pop-ups, nothing that feels risky. But the moment you join that network, your traffic starts sharing the same air as everyone else at that gate. The real question is not “Is public Wi-Fi evil?” but “What can other people actually see, and what small habits keep that from turning into trouble?” Most of the answer comes down to encryption. Modern sites and apps use HTTPS to wrap your data so anyone sitting on the same network only sees scrambled noise instead of passwords and messages. If you prefer the protocol view, this overview of HTTPS from Cloudflare shows how TLS turns readable traffic into ciphertext on unt…  ( 9 min )

What's New Under the Hood? Plugins Plugins for all, plugins everywhere, plugins for everything. Whether With the release of v0.3, every feature of the GoREST core is now optional and fully configurable. Each plugin has its own configuration in the gorest.yaml plugins Here's the list of the first available core plugins: Authentication with JWT support Content-type negotiation Logger Rate limiter Request identifier Security CORS management Health check Benchmark If you need something specific, you can build your own plugin. Here's an customplugin that calculates request duration time package customplugin import ( "fmt" "time" "github.com/gofiber/fiber/v2" "github.com/nicolasbonnici/gorest/plugin" ) // TimingPlugin adds request execution time headers to all r…  ( 9 min )

When I started building Ghostly Tales, a minimal, atmospheric ghost-story generator with a cinematic horror UI, I expected the biggest challenge to be the visuals. Horror is all about vibe, pacing, and subtle cues — and bringing that into code usually means hours of tweaking borders, animations, lighting, and interactions. This time, though, everything changed. I had Kiro. And for the first time, I felt like I wasn’t coding alone — I was coding with a creative partner. The Shift: From Writing Code → Describing Feelings What surprised me most was how natural it felt to collaborate with Kiro. Instead, I described intentions: “Make the border feel alive.” “Give this component a haunted glow.” “I want this UI to feel like it’s breathing.” “Make the storytelling container cinematic and quiet.…  ( 8 min )

Quantum Nets: Unmasking Financial Fraud with Unprecedented Accuracy \Imagine a world where fraudsters are constantly evolving their tactics, weaving intricate webs of deceit that are almost impossible for traditional algorithms to detect. What if there was a way to see patterns in financial transactions that are invisible to the naked eye, uncovering complex fraud schemes before they cause irreparable damage? The answer might lie in Quantum Topological Graph Neural Networks. At its core, this technology uses quantum mechanics to enhance graph neural networks, allowing them to capture subtle, non-linear relationships within financial networks. It's like upgrading from a magnifying glass to a quantum microscope, revealing hidden structures in transaction data and pinpointing fraudulent act…  ( 7 min )

Background ChatGPT Projects Allows Sharing of Chat Sessions In October 2025, a feature for sharing projects was added to ChatGPT Projects. Take a look at the following: Project/ Uploaded Files/ File 1 File 1 ... Chat Session 1 Chat Session 2 ... Shared projects allow multiple people to participate in this Project. In other words, anyone can start a chat session and view others' sessions. We usually communicate using tools like Slack or Teams. The genre known as business chat is supported by the functionality of "spaces" or "channels." The revolutionary concept of creating rooms where only stakeholders are gathered, allowing everyone to freely post and view, was groundbreaking. Now, this trend is reaching AI-generated chat as well, with ChatGPT Projects being one example. W…  ( 7 min )

If you’ve ever screamed at your monitor because of a mysterious CORS error… Congratulations — you are officially a web developer. 🎉 CORS is like that strict bouncer outside the club who won’t let you in even though you swear you're on the list. This blog will finally explain the difference between Client-Side CORS and Server-Side CORS, without making your brain melt like a broken build. CORS stands for Cross-Origin Resource Sharing — which sounds fancy, but really means: “Hey browser, can this website talk to that other website? Or is it a stranger danger situation?” The browser is extremely paranoid. If domain A calls domain B, the browser goes: “Hold up. Who sent you? Show me your passport, Aadhar card, PAN card, and two 2x2 photos.” People keep saying “client-side CORS” and “server-s…  ( 8 min )

Introduction In smart contracts, we often need to allow certain actions only for specific actors. A simple example is a wallet contract: we must authorize message senders to ensure only valid users can send funds. So what options do we have? In this article, I’d like to show three common ways to authorize messages in TON smart contracts. This mechanism is used for external messages. Below is an example in FunC that checks a message signature. It comes from the standard wallet-v3 contract: https://github.com/ton-blockchain/ton/blob/d97fc197f07bb0070eeb3e6fcb8137a240ea5365/crypto/smartcont/wallet3-code.fc#L7 () recv_external(slice in_msg) impure { var signature = in_msg~load_bits(512); ;; some code var (stored_seqno, stored_subwallet, public_key) = (ds~load_uint(32), ds~loa…  ( 8 min )

After building three different data marketplaces over the past two years, I noticed a pattern: every project spent 4-6 weeks rebuilding the same infrastructure before we could focus on the actual product. Payment processing, token encryption, access control, concurrency handling - it's the same problems over and over. So I built UDAM (Unified Data Marketplace) - an open-source backend that provides all this infrastructure out of the box. In this article, I'll share the technical decisions, challenges, and solutions that went into it. Building a marketplace seems straightforward until you start coding: Payments: Integrating Stripe, handling webhooks, managing checkout sessions Security: Encrypting API keys, managing sessions, preventing attacks Concurrency: Preventing overselling when multi…  ( 10 min )

How to Monitor Cron Jobs in 2026: A Complete Guide Cron jobs are the silent workhorses of modern applications. They run backups, clean up data, send emails, sync with APIs, and handle countless other critical tasks. But here's the problem: when they fail, they fail silently. I learned this the hard way when I discovered a month's worth of database backups had been failing. The cron job was still "running" - it just wasn't doing anything useful. That's when I realized: running a cron job and successfully completing it are two very different things. Traditional cron has zero built-in monitoring. You can log output to a file, sure: 0 2 * * * /usr/local/bin/backup.sh >> /var/log/backup.log 2>&1 But this means: You have to remember to check the logs Logs grow indefinitely (hello disk space i…  ( 12 min )

Overview We'll demonstrate an end-to-end data extraction pipeline, engineered for full automation, reproducibility, and clarity. Our objective: transform unstructured PDF documentation (like Python's official manuals) into precise, structured, and queryable tables using CocoIndex, Ollama, and state-of-the-art LLMs. Document Parsing: For each PDF file, the pipeline uses a custom parser to convert binary content to markdown, leveraging CPU or GPU acceleration for high throughput. Structured Data Extraction: With built-in ExtractByLlm functions from CocoIndex, markdown is processed by an LLM running locally (like Meta's Llama 3 via Ollama), yielding structured Python dataclass outputs (ModuleInfo). Post-Processing & Summarization: The pipeline applies a custom summarization operator, counti…  ( 8 min )

And why native Rive workflows lead to better performance, flexibility, and developer experience. Rive has quickly become one of the most powerful tools for real-time, interactive animation across apps, games, and digital products. But one feature is often misunderstood: Lottie import. If your team has ever dragged a Lottie file into Rive expecting a seamless conversion, only to run into bloated file sizes or broken interactivity, you’re not alone. And there’s a reason for that. Lottie import was never designed to be a primary workflow. It was a migration tool — a bridge for teams with massive Lottie libraries to transition into Rive’s real-time ecosystem. Over time, many teams started using it as a comparison tool or as part of their regular pipeline, and that’s where the issues begin. *Wh…  ( 8 min )

Campus Connect: Automating University Workflows Using the MERN Stack Universities are still dependent on outdated, paper-heavy workflows such as manual outpass approvals, handwritten maintenance logs, and disconnected communication channels. These systems create delays, confusion, and unnecessary manual work for students, wardens, faculty, and staff. To solve these issues, we built Campus Connect, a full-stack automation platform using the MERN stack. This blog covers what we built, why we built it, and what we learned along the way. Most university administrative tasks involve: Paper-based outpasses Physical signatures Manual maintenance registers Delayed communication Lack of transparency Campus Connect digitizes and automates these workflows to make campuses more efficient, tran…  ( 7 min )

As 2025 comes to a close, I look back with gratitude and pride. This was the year I consciously chose to go “Back to Basics” – rolling up my sleeves, writing code again, solving problems myself, and reconnecting with why I fell in love with technology in the first place. Instead of always reaching for the newest framework or vendor solution, I asked myself: “Can I build this myself? Can I make it simpler, faster, and cheaper?” Most of the time, the answer was yes — and the results speak for themselves. 🚀 Key Results Delivered in 2025 Cost Avoidance Through In-House Innovation I repeatedly challenged the question: By building working prototypes myself and demonstrating them to stakeholders, I convinced architecture and procurement teams that we could deliver equal or better solutions inter…  ( 8 min )

PostgreSQL's pg_dump utility is the go-to tool for creating logical backups, but its true power lies in the dozens of command-line options that let you customize exactly what gets backed up and how. Knowing which options to use — and when — can mean the difference between a backup that saves your project and one that falls short during a crisis. This guide covers the 10 most essential pg_dump options every developer and DBA should master. -F / --format The format option determines how your backup is stored and what restoration capabilities you'll have. Choosing the right format upfront saves time and headaches during recovery. This single option affects compression, parallel restore support and file compatibility. Format Flag Extension Compression Parallel Restore Best For Plain …  ( 10 min )

Recently I joined in the 5-Day AI Agents Intensive mostly out of curiosity. Everywhere I looked, people were talking about “Agents” but I felt like I only had a surface-level understanding of what that actually know it. I figured this course would either clear things up — or confuse me more. Luckily, it did the first one. My Learning skills 1.What an Agent Actually Is Before the course, I assumed agents were basically chatbots with extra steps. They’ve got: something that plans, tools they can use, a bit of memory, and a loop that lets them check their own work. Once I saw it in action during the labs, it finally clicked. It’s not magic. It’s more like building a small system that happens to think with a model. 2. Multi-Agent Systems Are Logical One of the sessions went into how multiple agents can work together. one plans one does the steps one checks things It felt oddly similar to how actual team projects work. 3. Tools Are the Real Power This was my biggest “ohhh, I get it now” moment. Agents get way more useful once they can: run a bit of code, call an API, look something up, read a file. That’s when it stops feeling like a chatbot and starts feeling like software that can help you build things or automate tasks. My Capstone Project For my project, I built a simple goal-planning agent. You gave a task, and it would break it down into smaller steps and figure out what was needed. Why I choose it: What went well: What didn’t: What I learned: How My Understanding Changed Before: “Agents are just advanced chatbots.” After: “Agents are basically small systems powered by an AI model that uses tools, memory, and planning.” It really changed how I think about AI projects. now I understand why people say agents are the next big step. Final Thoughts Overall, I’m really happy I learned the course.It gave me a clearer picture of how agents actually work and how to build something practical with them. I’m planning to keep experimenting, especially with multi-agent workflows, because that part was really excited.  ( 7 min )

Imagine you’re quietly walking through a misty forest at midnight. The air is cold, the wind is soft, and suddenly… a tiny glowing orb floats in front of you. It flickers, spins, and transforms into a card — a card showing a creature from ancient myths and dark folklore. You tap it, and instantly you're transported into their realm, their personality, their powers, and even their softer side. That’s exactly what our app does. Nothing in the app is random — every glow, every hint of fog, every bubble of dialogue belongs to their atmosphere. We didn’t just write about them. feel them. Now that you’ve stepped in — here’s what makes the design exciting: Category: Costume Contest — a UI-first spooky game rooted in atmosphere Platform: Purely 9:16 responsive mobile web Creatures: Baba Yaga —…  ( 10 min )

Why I’m Scrapping "Genres" (For Now) and Betting on AI Instead I recently sat down to build a standard feature for my library app: Categories and Genres. It seemed like a no-brainer. Every library app has genres, right? I wanted to be able to categorize my books so that if I searched for "textbook," "computer science," or "programming," everything relevant would pop up. The goal was classification—grouping books with similar attributes to make them easier to find. But as I started mapping out the logic, I hit a wall. I realized I was solving a problem I didn't actually have. I started running through real-world scenarios. Let’s say I have 300 books in my library. Since I’m a software engineer, almost all of them are related to programming. If I implement a "Programming" genre and then se…  ( 8 min )

A Nostalgic Beginning Let's rewind to 2003. WordPress had just been born, a promising open-source CMS that felt like the future of the web. It was lean, clean, and anyone could fire up a blog in minutes. I remember trying it out and thinking, 'This is going to change everything.' And for a while, it did. WordPress became the go-to platform for bloggers, small businesses, and even enterprise websites. Then came WooCommerce, and it was a big deal. Suddenly, you could run a full-blown online store without spending thousands on custom development. Life was simple. You had your theme, maybe a plugin or two, and your website was good to go. But fast forward to 2025, and WordPress has morphed into a bloated, plugin-infested monster that's more of a maintenance nightmare than a CMS. Here's the t…  ( 9 min )

Body: Over the past week, I participated in Kaggle’s 5-Day AI Agents Course — and it was an incredible journey into the world of intelligent, autonomous agents. As someone who is passionate about AI but relatively new to agent-based systems, this course opened up a completely new dimension of what AI can do. Each day focused on a core concept — from basic decision-making to building multi-step reasoning agents using tools like Python and LangChain. I particularly enjoyed how the lessons were structured: short, hands-on, and practical. It wasn’t just about reading theory; I got to build and test real agents right inside Kaggle notebooks. One of my favorite parts was seeing how agents could use tools like search or calculators to solve problems intelligently. By the end of Day 5, I had built…  ( 10 min )

Vendor shops on the dark web have become an alternative to large marketplaces, offering sellers more control and reducing dependency on platforms that frequently disappear or get seized. I put together a structured breakdown that covers: What darkweb vendor shops are Why vendors move away from major markets How link verification works Common scam indicators Safe research practices If you're interested in darknet infrastructure or cybersecurity research, here’s the full article: https://torbbb.com/darkweb-vendor-shops/ The guide focuses on structure, risks, and evaluation—not promoting illegal activity—so it’s a solid reference for researchers and analysts.  ( 6 min )

How the Pieces Fit Together Startup Code Application Code Linker Script Building and Running on QEMU Conclusion Bare-metal programming involves running software directly on a processor without an operating system or runtime layer. At reset, the CPU starts execution with minimal state, and all necessary initialisation must be handled by the program itself. This post presents a minimal bare-metal program that uses an ARMv7 platform under QEMU to show how startup code, a linker script, and a simple C program work together to produce serial output "hello". A bare-metal program is typically split into three parts, each with a distinct role: startup code to define the first instructions the CPU executes application code written in C linker script to describe how everything is placed in memory Af…  ( 7 min )

⚠️ Este artículo fue elaborado con el apoyo de herramientas de inteligencia artificial. Utilicé modelos de lenguaje para estructurar ideas, refinar conceptos y acelerar la redacción, pero la visión, experiencia y entusiasmo por los agentes inteligentes son completamente míos 🤖💡. Ahora sí, comencemos. ¿Qué es Agentic RAG? Evalúa resultados. Refina sus propias consultas. Llama herramientas adicionales si es necesario. Itera hasta lograr una respuesta de alta calidad. Esto se conoce como el ciclo maker-checker: el modelo actúa como generador, verificador y planificador de su propio flujo de razonamiento. ¿Por qué ir más allá del RAG tradicional? Sin embargo, este patrón tiene limitaciones en tareas complejas, como consultas malformadas, errores en SQL generados automáticamente o búsquedas …  ( 8 min )

Persian-language websites have grown far beyond simple blogs and news portals. Today, Persian web development powers marketplaces, fintech products, SaaS dashboards, governmental portals, and high-traffic e-commerce sites. Yet building a truly reliable and user-friendly Persian web experience requires a unique set of considerations that many international developers are unfamiliar with. If you’re planning to build or improve a Persian-language product, this guide covers the best, field-tested practices—from typography and RTL layout to performance, UX, and cultural nuances. Prioritize True RTL Support (Not Just “direction: rtl;”) Developers often underestimate how much breaks when switching a UI from LTR to RTL: Icons need mirroring (arrows, chevrons, sidebars) Flexbox and grid alignments …  ( 7 min )

Tech keeps moving fast, but what really fascinates me is how familiar it all feels now. We’re surrounded by tools that learn, adapt, and help us build things we used to only sketch on paper. Yet somehow, it still feels a little like magic every time something new clicks into place. What I love most is that innovation isn’t limited to massive companies or perfect setups. Some of the most interesting ideas come from people experimenting at home, staying up late, or chasing a thought that refuses to let go. The barrier to creating something meaningful has never been lower, and that changes everything. The pace is exciting, but the creativity behind it is even better. Tech keeps evolving, and so do we. And honestly, it feels like we’re nowhere near the peak of what’s possible.  ( 7 min )

I got varying response to my LinkedIn post (one of them I had to block) about software complex systems designed with complexity vs simplicity. To re-iterate Gall's Law: "A complex system that works is invariably found to have evolved from a simple system that worked. The inverse proposition also appears to be true: A complex system designed from scratch never works and cannot be made to work. You have to start over, beginning with a working simple system."—John Gall, Systems Theorist One of the pushback was something in the lines of "Modern systems often cannot start simple because they must satisfy non-negotiable requirements from day one". While there are non-negotiable constraints, this varies from project to project. What I see often is "complexity by default" mindset. While we argue f…  ( 7 min )

Introduction When organizing a project using npm workspaces, the typical structure consists of a single root package that orchestrates multiple local packages and applications: my-workspace | apps |-- client |-- server | packages |-- package-a |-- src |__ package.json |-- package-b |-- src |__ package.json |__ package.json This architecture promotes modularity and code reuse. However, managing shared dependencies can introduce complexity in module resolution, leading to unexpected behaviors - even at runtime - that can be difficult to diagnose. To fully understand dependency resolution mechanics and the deduplication strategies we use, we analyze a practical scenario. We use as a case study a frontend application built with react that uses react-router …  ( 11 min )

Este año vine a re:Invent *con muchas expectativas… y AWS no defraudó. Y sí: Matt Garman lo dijo en el keynote — “The future belongs to developers” — y estos lanzamientos lo dejan clarísimo. Acá van los que, personalmente, más me volaron la cabeza. Hasta ahora, entrenar un modelo “estilo GPT” era un privilegio para 5 empresas en el planeta. Con Nova Forge, AWS abre la puerta para que cualquier organización pueda entrenar su propio frontier model, partiendo de checkpoints de la familia Nova. ¿La traducción práctica? Podés construir un modelo que entienda profundamente tu industria, tus datos y tus procesos… sin invertir una fortuna en GPUs ni esperar meses. Lo que más me entusiasma: Podés mezclar tus datos reales con los datos curados de Nova. Tiene soporte para pre-training, fine-tunin…  ( 8 min )

I got tired of spending hours dragging boxes in Lucidchart just to end up with a diagram that still looked like spaghetti. So I built something different. InfraSketch turns natural language prompts into complete system architecture diagrams — in seconds. How It Works Describe what you're building — "Design a real-time analytics platform that handles 50k events per second" Get a complete architecture — Not just boxes and arrows, but an actual system with proper data flows, caching layers, and failure handling Refine through conversation — Click any component and ask questions: "How do we prevent data loss during failures?" The diagram updates as you discuss. Export documentation — One click generates a full design doc with component details, scalability analysis, and security considerations Key Features 🎯 AI-generated diagrams from plain English prompts 💬 Conversational refinement — ask questions, get answers, watch the architecture evolve 📁 Collapsible groups — drag nodes together to organize complex systems 📄 Auto-generated design docs — comprehensive technical documentation in one click 📤 Export to PNG, PDF, Markdown — real artifacts you can share with your team Engineers prepping for system design interviews Teams drafting architecture proposals Anyone who wants to learn distributed systems by exploring Try it free: infrasketch.net Full story: I wrote about how this tool helped me get promoted to Senior Engineer — the 48 hours that changed my career. What would you design first?  ( 6 min )

A 10-Year-Old from Morocco Builds Her First Fully Working Website Ameena ・ Dec 3 #html #youth #morocco #javascript  ( 6 min )

Catching .NET Vulnerabilities Early: A Hands-On SAST Demo with Puma Scan Static Application Security Testing (SAST) helps developers find security flaws directly in source code—before they reach production. In this article, I demonstrate how to use Puma Scan, a .NET-focused SAST tool listed by OWASP, to detect real vulnerabilities in a minimal C# application. The entire workflow—including code, automation script, and scan results—is publicly available on GitHub. 🔗 GitHub Demo Repository: https://github.com/Vlkair/dotnet-sast-pumascan-demo From the official OWASP Source Code Analysis Tools list, many SAST tools exist—but this assignment excluded Sonar, Snyk, Semgrep, and Veracode. Among the remaining options for C#/.NET, Puma Scan stood out because: It’s designed specifically for .NET a…  ( 7 min )

Hi Dev Community! 👋 I’ve prepared a new write-up that takes a closer, more structured look at Angular pipes. If you use them regularly but haven’t examined how they work internally, this article may be helpful. 🔗 Read the full article on Medium: https://medium.com/coreteq/angular-pipes-time-to-rethink-f616ec84fb8d  ( 6 min )

Why I Chose Vite Over Webpack: 10x Faster Builds & Instant HMR I'll never forget the first time I saved a file and watched Webpack rebuild. 8 seconds. Eight. Whole. Seconds. Just to see if my button component looked right. Then I tried Vite. The dev server started in 200 milliseconds. Hot module replacement happened in under 50ms. I changed a CSS class and the browser updated instantly. No waiting. No coffee break. Just immediate feedback. But here's what really sealed the deal: my production build went from 45 seconds with Webpack to 2.1 seconds with Vite. That's a 21x speedup. For the same code. The same output. Just a smarter tool. If you're still waiting for Webpack to rebuild in 2025, you're burning time you'll never get back. Here's why Vite is the build tool you should be using. I…  ( 16 min )

Lo primero que me impacta del libro es que no habla de criptomonedas como un casino o un juego de azar, sino como parte de una transformación real del sistema financiero. Propone que la era tradicional —el de los bancos, intermediarios, y estructuras cerradas— está quedando atrás, y que lo que viene ahora es algo distinto: finanzas descentralizadas, control individual, transparencia. Uno de sus puntos fuertes es que explica con claridad cómo funcionan conceptos que suenan complicados: qué es DeFi, en qué se diferencia del sistema viejo, cómo operan los protocolos, qué cuidados tener para no caer en estafas, y cómo invertir con cabeza. Si estás abierto a pensar en tus finanzas de una forma nueva —no solo guardar cripto esperando que suba—, este libro puede abrirte los ojos. Muestra que las criptomonedas no son un objeto de especulación, sino una puerta hacia herramientas reales: préstamos, rendimientos, contratos inteligentes, comunidad. Claro — no hay magia. Riesgos hay, la volatilidad existe, hay que entender lo que uno hace. Pero leer algo así ayuda a calmar el ruido, a educarse, a aproximarse a la criptoeconomía con un poco de sentido. Si estás dejando que tus criptos duerman sin hacer nada, o pensando solo en “comprar-vender-esperar”, leer este libro podría cambiar eso. Lo genial es que no te vende sueños locos: te da herramientas para decidir por vos mismo.  ( 6 min )

Storybook 10: Why I Chose It Over Ladle and Histoire for Component Documentation I'll be honest: Storybook is slow and complicated. When I started building the CodeCraft Labs UI library, I knew I needed component documentation. The question was: do I use the industry-standard Storybook, or try one of the newer, faster alternatives like Ladle or Histoire? Storybook 10 takes 8 seconds to cold-start. Ladle does it in 1.2 seconds. That's a 6.7x difference. So why did I still choose Storybook? Because speed isn't everything. What matters for component documentation is interactivity, ecosystem, and deployment options. And in those areas, Storybook is untouchable. Here's my journey from researching alternatives to having 50+ interactive component stories deployed to production, and the real tra…  ( 15 min )

Do You Need State Management in 2025? React Context vs Zustand vs Jotai vs Redux When I started building the CodeCraft Labs platform, I had a decision to make that would affect every component I wrote: how do I manage state? The React ecosystem offers a dizzying array of state management solutions. Redux has been the industry standard for years. Zustand promises simplicity in just 1KB. Jotai brings atomic state management. And then there's React's built-in Context API, which has gotten significantly better with React 19. Here's what surprised me: for most modern React applications, you might not need a state management library at all. This isn't clickbait. After evaluating all the options against my actual requirements, I chose React Context + useState for the portfolio site, with a clea…  ( 17 min )

Email notifications are an important requirement for modern applications. Whether you're a developer looking to automate email sending or build robust email functionality into your Python applications, this tutorial covers everything from basic implementation to advanced features. In this post, you'll learn how to send emails with Python using SMTP. I'll also show you how to send emails through the SendLayer API. How to Send Email With Python How to Send an Email With SMTP in Python Send Emails With an Email API in Python Frequently Asked Questions Simple Mail Transmission Protocol (SMTP) is a service that email providers use to send emails online. Transactional email services like SendLayer provide an SMTP server (e.g, smtp.sendlayer.net) that can be used to send emails through third-part…  ( 17 min )

Building an AI Fitness App in 10 Days: How Kiro Changed My Development Workflow The Challenge I had 10 days to build something ambitious for the Kiroween Hackathon: an AI-powered fitness coach that works with just your smartphone camera. No expensive equipment, no wearables, no gym membership - just professional-grade workout analysis accessible to anyone. The result? Talent Track - a complete fitness platform with real-time pose detection, form validation, ghost mode training, and comprehensive progress tracking. The timeline? 10.5 days instead of the estimated 28 days traditional development would have taken. Here's how Kiro AI transformed my approach to building complex applications. What I Built Talent Track is a Progressive Web App that brings professional-grade workout analysis to ev…  ( 10 min )

Cumplimiento Normativo con Responsabilidad: Evalúe con Cuidado su Opción de PLD con IA/ML En el entorno de cumplimiento normativo en México, la búsqueda de soluciones innovadoras y efectivas es fundamental para garantizar la sostenibilidad y eficiencia en la implementación de políticas de lavado de dinero (PLD). En este sentido, es esencial evaluar con cautela las alternativas disponibles, especialmente aquellas que involucran tecnologías emergentes como la Inteligencia Artificial (IA) y Aprendizaje Automático (ML). La importancia de una evaluación cuidadosa Al considerar la implementación de una plataforma SaaS de PLD basada en IA/ML, como TarantulaHawk.ai, es crucial evaluar su idoneidad y ajustarse a los criterios de debida diligencia. Esto incluye considerar aspectos como la trazabilid…  ( 7 min )

Today was one of those days where everything just clicked. I didn’t just learn Terraform concepts, I finally felt like I understood why they matter and how they fit into real-world infrastructure. Compared to some earlier days where things felt abstract. Day 10 was smooth, logical, and honestly very satisfying. 1. Conditional Expressions (Choosing Resources Based on Environment): The first thing I learned was how to use conditional expressions in Terraform. These allow you to change behavior based on variables. Instead of hardcoding instance types, you can make Terraform decide automatically. In my aws_instance resource, I used: instance_type = var.environment == "dev" ? "t2.micro" : "t3.micro" That one line alone felt powerful, It means: If the environment is dev, use a t2.micro instan…  ( 8 min )

Hey Dev.to community! 👋 A few months ago, I would have told you that building an AI agent required Python expertise, understanding LangChain, and managing API keys in environment files. Turns out, I was completely wrong. Last week, I challenged myself: Could I build a functional AI agent that automates real work without writing a single line of code? The answer: Yes. And it took me just 30 minutes. As a content creator and SEO specialist, I was drowning in repetitive tasks: Answering the same customer questions on repeat. Manually checking keyword trends every Monday. Copying data between Google Sheets and my CRM. I knew AI agents could solve this, but I didn't have time to learn a new framework. That's when I discovered the no-code AI agent builder movement. Here are the platforms I test…  ( 8 min )

Designing clean, well-structured classes is a central challenge in object-oriented programming. declensions — a simple way to express the nature of a class and the domain it belongs to. Rather than replacing your existing architecture, Clprolf integrates naturally with it. repositories, services, controllers, entities, abstractions all stay where they are. The word declension is borrowed from languages, where a word changes form depending on its use while keeping the same core identity. declension tells whether a class belongs to the business/domain layer (agent) or the technical layer (worker_agent). Within a declension, synonyms simply refine the intention without changing the domain: agent → active business element abstraction → conceptual domain element simu_real_obj → active entity in…  ( 10 min )

A exclusão de um perfil no Registro do Windows é útil quando o perfil está corrompido ou quando há rastros antigos que podem impactar desempenho ou configurações. O Registro é um componente crítico do sistema, portanto qualquer alteração deve ser feita com atenção. Antes de iniciar, crie um ponto de restauração ou faça backup do registro. Este procedimento deve ser realizado com privilégios de administrador. Pressione Win + R e abra o Executar; Digite regedit e pressione Enter. Alternativa: pesquise por Editor de Registro na barra de busca do Windows. Navegue até: HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\ProfileList A pasta ProfileList contém todas as chaves de perfis geradas no computador. Dentro de ProfileList, analise cada SID e observe o valor: ProfileImagePath Ele indica o caminho do perfil correspondente (ex.: C:\Users\Usuario). Nesta etapa, verifique se existe algum perfil fora do padrão definido pela empresa, seja pertencente ao domínio ou local. Perfis desconhecidos, duplicados ou que não seguem o padrão podem ser removidos com segurança (após validação interna). Após identificar o SID desejado, clique com o botão direito e selecione Excluir. No explorador de arquivos, vá até: C:\Users Localize a pasta do usuário correspondente e exclua ou renomeie (caso precise manter backup temporário). Após reiniciar o Windows, um novo perfil será criado automaticamente no próximo login. Abra o regedit como administrador. Acesse: HKLM\SOFTWARE\Microsoft\Windows NT\CurrentVersion\ProfileList. Identifique o perfil pelo valor ProfileImagePath. Verifique perfis fora do padrão e remova os que não devem existir. Delete o SID correspondente e a pasta em C:\Users. Reinicie o computador para recriar o perfil.  ( 7 min )

The question: "Can we build microfrontends using only vanilla JavaScript, HTML, and CSS (without frameworks like React/Vue or build tools like Webpack)?" Short answer: Yes — absolutely! We can build microfrontends with plain HTML/JS/CSS using simple, browser-native patterns: Web Components (Custom Elements + Shadow DOM), dynamic script/ES module loading, or iframes. Below, I'll provide the complete, copy-pasteable approach for a host and two remotes using custom elements and a tiny global event bus. This solution is minimal, framework-free, and easy to reason about. Perfect as a short engineering exercise or a workshop: lightweight, independent deployables, and easy to reason about. Architecture overview Host: Loads and orchestrates microfrontends (iframes) Products: Microfrontend that emi…  ( 8 min )

If someone told me a few years ago that a tiny digital card could help creators land real brand deals… I would’ve laughed. Hard. And honestly? I wish I knew this sooner. Let’s talk about how you can use vCards not just as a “digital contact card,” but as a mini-portfolio, a credibility booster, and a brand magnet. Yes, that’s a thing. (And if you don’t have one yet, grab a free one from platforms like the free digital portfolio builder—trust me, life gets easier.) Why vCards Work So Well for Brand Deals Brands love clarity. They love quick info. A vCard solves that in one click. It gives brands: Who you are What you do Your best collaborations Your social stats A way to contact you instantly Basically, it removes friction. I once lost a collaboration simply because the PR manager “couldn…  ( 9 min )

Just finished my latest open-source project: CyberToast.js. A zero-dependency notification system focused on Sci-Fi aesthetics. It taught me a lot about DOM manipulation and CSS animations. Check it out on GitHub! https://github.com/hsr88/cyber-toast-js  ( 6 min )

Recent Breakthrough: 'Netflix Replay' AI Technology Imagine binge-watching your favorite TV show and suddenly, the AI can predict exactly how much you'll enjoy each upcoming episode based on your viewing history and preferences. This is exactly what's happening with Netflix's cutting-edge AI technology called 'Netflix Replay.' Developed by the Netflix AI team, 'Replay' utilizes a complex algorithm that creates an 'emotional blueprint' of each viewer by analyzing their behavior patterns, likes, dislikes, and interactions with various episodes of a show. But here's the exciting part: using this blueprint, 'Replay' can anticipate how viewers will react to future episodes, taking into account factors like cliffhangers, character development, and even the emotional resonance of pivotal scenes. One concrete detail that stands out is that the AI has shown an impressive 75% prediction accuracy for viewers who have watched at least half the series. This breakthrough technology has the potential to enhance the overall viewing experience and even help Netflix creators refine their storylines based on real-time data. The ripple effect of 'Replay' is expected to transform not just how we watch TV, but also how entertainment content is crafted and distributed. With AI driving the decision-making process, expect a more personalized, engaging, and responsive experience for viewers worldwide. Publicado automáticamente  ( 6 min )

If you’re building an app in 2026, you’ve probably felt this pain already: too many languages promising “fewer bugs,” “faster delivery,” and “ultimate developer happiness.” Meanwhile, deadlines breathe down your neck, investors ping you every morning, and your team can’t agree on whether Kotlin or Scala will save the project — or sink it. Choosing the wrong tech stack today isn’t just a mild inconvenience. It can balloon your budget, slow your roadmap, and turn scaling into a technical nightmare. And when both languages run on JVM, both promise modern features, and both have strong communities, the choice isn’t obvious. So let’s break through the noise and get real about Kotlin vs. Scala — without sugarcoating anything. Kotlin was born at JetBrains as a cleaner, safer, modern alternative t…  ( 9 min )

As I continue my Terraform with AWS learning journey, today’s focus was on one of the most underrated yet extremely important topics: how to properly structure a Terraform project. When you're getting started, it’s tempting to put all your .tf files in a single folder and just make things “work.” And yes Terraform will still run. But as your infrastructure grows, poor structure quickly leads to chaos. On Day 6, I learned why project structure matters, the problems you face when you don’t manage it well, and the best practices recommended by Terraform to build clean, scalable, and maintainable infrastructure from day one. Terraform is declarative and modular by design. Its power becomes clear when you start organizing infrastructure into reusable components, separating environments, and kee…  ( 8 min )

This article was originally published on the Rails Designer blog Custom elements are one of those web platform features that sound complicated but turn out to be surprisingly simple. If you have used Hotwire in Rails, you have already used them. Both and are custom elements. They are just HTML tags with JavaScript behavior attached. This article walks through what custom elements are, how they compare to Stimulus controllers and how to build them yourself! Starting with a simple counter and ending with an optimistic form that updates instantly without waiting for the server. 🤯 The code is available on GitHub. Custom elements let you define your own HTML tags with custom behavior. They are part of the Web Components standard, but you do not need Shadow DOM or …  ( 11 min )

Three months ago, I tested Kiro's Spec-Driven Development (SDD) workflow and walked away impressed but frustrated. The AI built 13,000 lines of Rust code with 246 tests... that took 30 minutes to run, checked God-knows-what, left CI/CD broken beyond repair, and produced a codebase I couldn't maintain. Fast-forward to this weekend: I built a complete mobile app using Cursor + Gemini 3 Pro + Flutter—structured, maintainable, and shipped in one evening plus half a day. The difference? Let's unpack... Built a Flutter app targeting Android and macOS (mainly for UI debugging) from scratch -> https://github.com/maxim-saplin/nothingness: It shows currently playing media, provide media controls (pause, next, etc.), displays spectrum analyzer using mic Used Cursor + Gemini 3 (and some GPT 5.1 and O…  ( 11 min )

Food waste is a real-life monster. Every year, around 1.3 billion tons of food are thrown away—while millions go hungry and the planet heats up. Half-used onions. Forgotten spinach. That single sad tomato at the back of the fridge. They’re not just ingredients… they’re ghosts. At some point, staring into my own fridge, I had a very Halloween-flavored thought: What if no ingredient ever truly had to die? That question became Recipe Reanimator: a Halloween-themed web app that turns leftover ingredients into AI-generated recipes and shows you how much food, money, and CO₂ you’re saving along the way. But building Recipe Reanimator wasn’t just about food. It was also an experiment in AI-assisted development. I didn’t just build an app; I built a chimera of technologies—SQL + NoSQL, Pyth…  ( 10 min )

When we work with pharmaceutical and biotech teams, one thing becomes clear very quickly. The biggest challenges are rarely about the individual systems. They are almost always about how those systems connect. Integration is the foundation, yet it is also the area that gets rushed, patched, or treated like a technical side task. From the outside, integration looks simple. Move data from point A to point B and keep things in sync. But inside a real life sciences ecosystem, nothing stays simple. Workflows evolve, regulations get tighter, APIs change versions, and new systems enter the stack. When this happens, even small cracks in the integration layer start to expose much bigger risks. We see this often with point to point connections. They begin as quick solutions but turn into sprawling w…  ( 7 min )

GA4's default reports are designed for everyone, which means they're perfect for no one. You've probably noticed this. You open GA4, click through the standard reports, squint at engagement metrics that sort of tell you something, and then... you make a decision based on vibes anyway. The data's there. Somewhere. Buried under seventeen clicks and three dimension changes. Here's the thing: GA4 is powerful. Genuinely powerful. But its interface feels like it was designed by someone who's never actually had to report to a client on a Friday afternoon. The solution isn't learning where everything is hidden—it's building custom reports that surface exactly what you need, when you need it. I'm going to walk you through seven custom reports that solve real problems. Not the theoretical ones in Go…  ( 11 min )

Through this course learnt many new things:- Day 1: Establishing the Autonomous Paradigm Day 2: Advanced Tool Integration and External Interoperability Day 3: Engineering Contextual Persistence and Memory Management Day 4: Quality Assurance, Observability, and Performance Optimization Day 5: Production Deployment, Scaling, and Multi-Agent Collaboration Thank you for providing the detailed five-day curriculum for the Agentic AI Systems program. The structured outline effectively clarifies the technical scope of the training, particularly the progression from foundational architectures (Day 1) to production scaling and multi-agent collaboration via the Agent2Agent (A2A) Protocol (Day 5). This information is sufficient for our evaluation of the program's strategic fit. Sincerely, Atri  ( 7 min )

In this series, I'll share my progress with the 2025 version of Advent of Code. Check the first post for a short intro to this series. You can also follow my progress on GitHub. The puzzle of day 4 was pretty straightforward. I guess it's possible to use a single pass, instead of an iterative approach, but I did not have the time to look into that. My pitfall for this puzzle: The C++ std::string::substr method takes a start and length argument. Who would have known?! I expected a start and non-inclusive end argument. That took me some debug headaches 🤯 #include #include #include #include std::vector loadInput(const std::string &filename) { std::vector result; std::ifstream file(filename); std::string line; …  ( 7 min )

Gen Z Is Plotting to End ‘AI Slop’ and Reboot the Internet to 2012. Your Algorithm Isn’t Ready. There’s a plan brewing on TikTok, a quiet, coordinated effort among millions of users to achieve a single, audacious goal: By 2026, they intend to reset the internet. Not its infrastructure, but its culture. This isn’t a hacker plot or a corporate strategy. It’s a grassroots movement, spearheaded by Gen Z and Gen Alpha, known as the “Great Meme Reset.” Their objective is to deliberately revert online humor to the simpler, more universal formats of the early 2010s. It is a direct and pointed insurrection against the internet they’ve inherited—one they argue is drowning in algorithmic sludge, hyper-niche “brain rot,” and the uncanny valley of generative AI. The movement functions as a declaratio…  ( 11 min )

AWS Unveils AI Factory: Bringing Dedicated On-Premises Power to Enterprise AI\n\nAmazon Web Services (AWS) continues to redefine the boundaries of cloud computing, and its latest innovation, the AI Factory, is set to make significant waves in the enterprise AI landscape. This new offering isn't just another cloud service; it's a strategic move to provide dedicated, on-premises AI infrastructure, tailored for organizations with the most demanding and sensitive AI workloads. Imagine having the power of AWS's cutting-edge AI chips, like Trainium, or Nvidia's industry-leading GPUs, deployed directly within your data center, but fully managed by AWS – that's the core promise of the AI Factory.\n\nWhat truly changes with the AI Factory is AWS's commitment to extending its world-class infrastruct…  ( 18 min )

Digital transformation has become the central force reshaping modern enterprises. Organizations now rely on digital tools to optimize operations, enhance decision-making, and deliver improved customer experiences. These capabilities offer immense advantages, but they also introduce complex risks that can undermine transformation efforts if not carefully managed. This is why cybersecurity is no longer a background function; it is now a strategic pillar essential to long-term success. Experts such as Jeremy Nevins consistently emphasize that progress in the digital domain must be accompanied by robust protections, strong governance, and a security-first mindset. As businesses integrate cloud computing, automation, artificial intelligence, and remote-access technologies, they expand their dig…  ( 9 min )

Ever felt intimidated by the Linux command line? It’s often seen as a dark, complex place, but in reality, it’s the key to unlocking incredible efficiency and control over any system. This comprehensive learning path is designed specifically for beginners, transforming you from a curious newcomer into a confident Linux administrator. Forget passive video tutorials; we focus on practical, non-video exercises in an interactive shell playground. Think of this as your apprenticeship—a journey where you gain real-world experience managing systems, automating tasks, and mastering the core tools that power the digital world. Ready to start building your Linux foundation, one command at a time? Difficulty: Beginner | Time: 20 minutes Learn essential Linux file system and disk management skills in…  ( 7 min )

On paper, “vibe coding” sounds perfect: you describe what you want, AI agents do the heavy lifting, and you just review the results. With tools like Gemini 3 and Google Antigravity, that dream suddenly feels very close. One prompt for the architecture, one for the UI, one for the tests… and the IDE cheerfully replies “Task completed.” Then you try to run the project locally. Suddenly you’re installing Node.js (again), juggling Python versions, fixing OpenSSL issues, and debugging why some global CLI won’t start. The vibe disappears, replaced by the very human sound of sighing at a terminal. This post is about that gap: AI makes building projects easy, but your local environment decides how easy it is to actually run them. Modern agent-first tools like Antigravity are really good at: Gener…  ( 10 min )

Hey, I'm starting with a quick dev tip that's been a game-changer for my workflow lately. If you've been working in a team, you know the drill: you create a feature branch, make progress, add commits... and then, it's time to rebase against main. You know what's coming, right? That moment when Git starts replaying each of your 9 commits one by one, and you're resolving the same conflict over and over again. That's painful. Sure, GitHub has that "squash and merge" button that'll compress everything into one commit. Great for merge time. But what about before you merge? What happens when you need to rebase your branch first because main has moved forward? Most of us know about interactive rebase: git rebase -i HEAD~9 This opens an editor where you mark commits to squash or fixup. It wo…  ( 7 min )

Many developers treat communication as an afterthought, yet resources like the public relations services overview show that how you present your work often matters as much as the work itself. In a world where users, investors, hiring managers, and journalists are overwhelmed with information, silent projects quietly die, while well-told stories get adopted, funded, and forked. If you build things that deserve attention — open-source tools, internal platforms, or a startup product — learning the basics of public relations is no longer a “marketing thing,” it is part of being an effective engineer. Strip away the buzzwords and public relations is just structured communication with the people who matter to your project. Instead of thinking about “audiences,” think about stakeholder groups: co…  ( 10 min )

Key Learnings & Insights The AI Agents Intensive was a powerful learning journey that reshaped how I understand artificial intelligence. I learned that AI agents are not just systems that respond to prompts—they are autonomous intelligent entities capable of perceiving context, reasoning, taking action, and collaborating to achieve complex goals. Exploring how agentic architectures differ from traditional LLM applications helped me understand the future direction of AI innovation. The idea of agents interacting with tools and external APIs opened my eyes to how AI can move from conversation to **real-world execution and problem-solving What concepts resonated most with me? The concept that resonated most deeply was interoperability through tools and the Model Context Protocol (MCP). The ab…  ( 7 min )

🦄 Making great presentations more accessible. 📖 AWS re:Invent 2025 - A leader's guide to agentic AI (SNR201) In this video, an AWS leader explores the shift from automation to high-agency agentic systems, explaining how AI agents differ from scripted automation through their goal-driven, resourceful, and adaptive behaviors. The speaker presents four leadership mental model shifts: governance like a board of directors, risk management like a trading floor with circuit breakers, organizational structure like an immune system, and culture like a research lab. Technical capabilities are examined through intelligence (model selection in Amazon Bedrock), context (knowledge graphs, vector databases, memory types, and Model Context Protocol), and trust (Amazon Bedrock Guardrails with automated r…  ( 29 min )

🦄 Making great presentations more accessible. 📖 AWS re:Invent 2025 - Keynote with Dr. Swami Sivasubramanian In this video, AWS unveils comprehensive agentic AI capabilities including Strands Agents SDK (5M+ downloads), Amazon Bedrock AgentCore for production deployment, and Reinforcement Fine-tuning for model customization. Key announcements include TypeScript support for Strands, Episodic Memory for AgentCore, SageMaker AI's serverless model customization, Checkpointless Training on HyperPod, Amazon Nova Forge for custom foundational models, and Amazon Nova Act achieving 90% reliability in enterprise workflow automation. Customer stories from Cox Automotive, Blue Origin, Ocean Cleanup, PGA TOUR, and Heroku demonstrate real-world impact. Byron Cook explains Neurosymbolic AI combining aut…  ( 51 min )

🦄 Making great presentations more accessible. 📖 AWS re:Invent 2025 - A leader's guide to emerging technologies: From insights to rapid action-SNR203 In this video, former CIO Arvind and NASA's first CTO Tom Soderstrom address the dual mandate facing technology leaders: delivering operational excellence while championing innovation. They present eight major technology trends including generative and agentic AI, edge computing with IoT, collaborative robots, medical impacts, data analytics, crypto, quantum computing, and energy solutions. The session introduces TechRecon, an open-source multi-agent AI system that automates technology landscape reconnaissance for CIOs. TechRecon generates emerging technology reports and position papers specific to each company's industry, calculating impact…  ( 33 min )

2211. Count Collisions on a Road Difficulty: Medium Topics: String, Stack, Simulation, Weekly Contest 285 There are n cars on an infinitely long road. The cars are numbered from 0 to n - 1 from left to right and each car is present at a unique point. You are given a 0-indexed string directions of length n. directions[i] can be either 'L', 'R', or 'S' denoting whether the ith car is moving towards the left, towards the right, or staying at its current point respectively. Each moving car has the same speed. The number of collisions can be calculated as follows: When two cars moving in opposite directions collide with each other, the number of collisions increases by 2. When a moving car collides with a stationary car, the number of collisions increases by 1. After a collision, the cars invol…  ( 39 min )

HOW I BUILT AN AI-POWERED LEGACY CODE RESURRECTION PLATFORM . Built for Kiroween 2025 Hackathon | Resurrection Category THE PROBLEM: $85 BILLION IN DYING CODE Right now, at this very moment, the world's banking systems are held together The numbers are absolutely terrifying: • $85 BILLION in global technical debt And here's the kicker: the developers who wrote this code are retiring. The This isn't just a technical problem. This is an existential crisis for THE IDEA: CODEPHOENIX - RESURRECTION THROUGH AI For the Kiroween hackathon's "Resurrection" category, I knew I had to build But I only had 72 hours. And I'm one person. That's where Kiro AI came in. CODEPHOENIX does this: UPLOAD: Drop in your ancient legacy files (COBOL, VB6, Fortran, PHP, etc.) ANALYZE: AI deeply understands the bu…  ( 15 min )

Everything Wrong With How to Train Your Dragon In 22 Minutes Or Less is a CinemaSins video that gleefully rips into the film, pointing out every “sin” of this so-called classic knockoff in under 22 minutes. Expect snarky commentary, clever jabs at plot conveniences, and plenty of cinematic nitpicking. They also plug all the usual CinemaSins hotspots—visit cinemasins.com, subscribe to TVSins, CommercialSins and their podcast network, join the Discord or Reddit community, fill out their poll, and consider supporting them on Patreon. Plus, get to know the writing team: Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel. Watch on YouTube  ( 6 min )

Read this blog on Signadot. Learn how testing in production with the right guardrails can eliminate bottlenecks, reduce costs and help your team ship more reliable code faster. Staging has always been a necessary evil. New approaches to isolation and on-demand sandboxes have finally made it just plain evil. For decades, the staging environment has been a fixture of software development. And for just as long, it has been hated by developers everywhere. It’s the proverbial traffic jam that every developer is forced to sit in just to get their work validated. Yet staging is no longer necessary; its time has come and gone. Newer isolation methods enable developers to test safely in live environments, providing fast, high-fidelity feedback that is impossible to achieve in a staging environment.…  ( 10 min )

This is a submission for the AI Challenge for Cross-Platform Apps - WOW Factor What I Built Demo Cross-Platform Magic Interactive Features The Wow Factor  ( 6 min )

In the first part of this series, I covered the high-level architecture and the tools I chose for building my personal website. Now let's dive deeper into the technical implementation, starting with the Terraform modules. To deploy the minimal infrastructure with everything needed on Hetzner Cloud, we need to configure the following components: Network — private network for internal communication Firewall — security rules to restrict traffic SSH Key — authentication for server access Server — the actual compute instance I created Terraform modules for each of these components. Let's go through them one by one. The first piece of infrastructure we need is a private network. For this, I created the terraform-hcloud-network module. This module provides comprehensive network management for Het…  ( 13 min )

The Challenge The Visuals: "Baking" on the Fly I couldn't afford to download heavy .jpg textures for the buildings or roads. Instead, I used the HTML Canvas API to generate textures in memory when the game loads. Roads: Generated via code (black background + white dashed lines + noise). Branding: I wrote a script to paint "ANIMTHEME" directly onto the asphalt texture, so as you drive, the road itself markets the platform. Windows: Procedurally drawn rectangles with a chance to be "lit" (yellow/blue) or "dark." Performance: The Power of Instancing Rendering 3,000 unique building meshes kills the CPU. Instead, I used THREE.InstancedMesh. This allows the GPU to render one cube geometry 3,000 times in a single draw call. I used the same technique for the traffic system and the drone swarm. Traffic: 50 cars. Drones: 50 sci-fi discs tilting into the wind. Draw Calls: 2. FPS: 60 (even on mobile). The "Dr. Driving" Mobile Controls Audio Synthesis (No MP3s!) Preview the project here: https://animtheme-city.vercel.app Watch Demo  ( 7 min )

The All Ordinaries, often referred to simply as the All Ords, stands as one of the most widely recognised markers of performance within Australia’s equity landscape. Created in 1979, it was the first major index that attempted to capture a holistic view of the nation’s corporate market environment. Today, it represents around 500 of the largest companies listed on the Australian Securities Exchange (ASX), providing a broad mirror of economic sentiment, industry movements, and long-term structural shifts within the nation’s business ecosystem. Unlike narrower indices that focus exclusively on top-tier corporations, the All Ordinaries includes a wider range of sectors — banking, mining, technology, healthcare, retail, telecommunications, and more. This extensive inclusion allows the index to…  ( 8 min )

The Strands Agents SDK, which was released as open source in May 2025, recently added TypeScript support as a public preview. Developers who prefer Python have had access to Strands since launch. Now TypeScript developers can build AI agents using the same model-driven approach, with full type safety and modern async patterns. This article compares the Python and TypeScript implementations side by side, building a practical example along the way. Because the Strands Agents TypeScript SDK is currently in public preview, APIs may change as the SDK is refined, and some features available in the Strands Agents Python SDK are not yet implemented. The core functionality—agents, tools, MCP integration, streaming—works as expected, but this is an early release. Feedback and contributions are welco…  ( 11 min )

Looking for the top outsourced IT support companies in Edmonton? I took a deep dive to help you sort the best options from the rest. Note: This piece incorporates AI-assisted writing and may reference businesses I'm affiliated with. After spending more than 60 hours researching, comparing, and evaluating top providers that serve businesses in Edmonton, I’ve narrowed down the list. My approach was simple: focus on real user experiences, consistency of service, clarity in pricing, and strong security standards. With my own 5 years in the IT services field working alongside businesses of all sizes, I've seen how the right (or wrong) IT support impacts daily operations. I’ve helped everyone from legal offices to engineering firms choose and work with managed IT partners. My aim with this guide…  ( 14 min )

Google recently introduced Workspace Studio Agents, a powerful way to automate workflows, integrate apps, and create AI-powered task agents — all inside Workspace. Developers can now build custom agents that connect Gmail, Docs, Drive, Sheets, third-party APIs, and internal systems without heavy backend setups. In this article, we’ll break it down in a simple and developer-focused way. Agents are AI-driven automation bots that can perform tasks for you inside Google Workspace. serverless backend workflows running on Google’s infrastructure. ✔ Read & parse emails This makes Workspace Studio Agents perfect for automation and productivity workflows. Serverless automation No servers, deployments, or maintenance — agents run on Workspace infrastructure. Built-in OAuth & Permissions Agents u…  ( 7 min )

Looking beyond the AI hype, a quieter revolution is happening in how we handle data state. Here is my perspective on the stack for 2026. The dust from the AI explosion of 2024 and 2025 is finally starting to settle. While we were all busy integrating LLM APIs and figuring out RAG pipelines, another shift has been happening quietly in the background. It is less flashy, but it solves a problem that users actually feel every day: latency and reliability. Old way: The Client is a view layer; the Server is the source of truth. New way: The Client has its own source of truth; the Server is a synchronization relay. My Project Prediction for 2026: The "Invisible" Sync Engine I am currently experimenting with a project concept that I think will define the next wave of SaaS tools. The Concept: A Col…  ( 8 min )

A powerful Model Context Protocol (MCP) Server that provides advanced mathematical utilities and calculator tools for AI assistants like Claude and other MCP-compatible clients. This MCP server exposes mathematical tools that AI assistants can use to perform calculations, statistical analysis, unit conversions, and more. Built with the Model Context Protocol SDK, it seamlessly integrates with Claude Desktop, VSCode, and other MCP clients. Author: Jefferson Rosas Chambilla Repository: https://github.com/Ankluna72/Math-Calculator-MCP-Server- Addition, subtraction, multiplication, division Power, square root, modulo operations Error handling (division by zero, invalid operations) Mean, median, mode Standard deviation and variance Complete statistical summaries Length: meters, kilometers, mil…  ( 8 min )

Microsoft’s Copilot (the AI assistant integrated into Microsoft 365 and Windows) is evolving rapidly. In December 2025, Microsoft unveiled new Copilot plans, features, and integrations across its products. These announcements arrived amid broader AI industry trends and regulatory scrutiny. We’ve combed the latest sources to bring you a comprehensive update on Microsoft Ai Copilot News Today. This includes new pricing plans (for small businesses and enterprise), free offerings, cutting-edge features (like voice interaction and AI agents), and how to get and use Copilot. We also link to relevant resources, including official Microsoft blogs and TechDecodedly’s own recent articles (e.g. AI regulation news today: key trends and US updates) for additional context. Copilot News Today: Announceme…  ( 13 min )

Key Learnings That Transformed My Perspective 1. Agents Are Architecture, Not Just Features The shift: Moving from "how do I get the LLM to do X?" to "how do I architect a system that can reason, plan, and act?" changed everything. The multi-agent systems codelab particularly demonstrated how specialized agents with clear responsibilities outperform monolithic approaches. Practical insight: When building my first multi-agent system with ADK, I saw how decomposing complex tasks into agent teams mirrors effective software architecture—single responsibility principle, but for AI. 2. Tools Are the Bridge Between Thought and Action What resonated most: Day 2's deep dive into the Model Context Protocol (MCP) revealed that an agent's power isn't just in its reasoning—it's in its ability to intera…  ( 10 min )

We've been sold a lie. A very convenient, very profitable lie. The lie is that for an app to be "smart," it needs to know everything about you. It needs to upload your habits to the cloud, analyze your sleep patterns with AI, and sync your deepest thoughts across five different devices in real-time. I almost fell for it. When I started designing my latest productivity tool, my Product Manager brain (the ISTJ part of me) immediately started listing features: Cloud Sync! Team Collaboration! AI Insights! User Analytics! But then, late one night, I sat in my dimly lit room, staring at the glowing screen of a server log from a previous project. I saw rows and rows of user data scrolling by. Names, timestamps, actions. And I felt a sudden, visceral wave of nausea. I realized I wasn't building a …  ( 8 min )

Many people may still think of alova as a lightweight request strategy library, which is certainly the core feature of alova 2. For example, consider the following code: const { loading, data, error } = useRequest(() => alovaInstance.Get('/xxx')) This is a typical example of alova being used on the client side. However, alova has now been updated to version 3. Of course, these client strategies remain intact, but it's no longer limited to the client side—it can now handle server-side scenarios with ease. Alova 3 provides server-side request strategies (server hooks) and server-side storage adapters like Redis and file storage, allowing us to conveniently implement full-chain requests and forwarding on the server side. Let's first look at the complete flow of a request: Client (Browser/App…  ( 10 min )

In this article, I'm not going to show you much code. Instead, I'm going to show you how you can build a holiday card collage, complete with a ribbon footer with text, a background, and 5 styled photos with rounded, colored borders in one line using the magic of Cloudinary's transformations. This is way cool, so buckle up and let me show you how I built this URL-generating app for your holiday card-sending needs. You can try it right now here; it generates cards that look like this: Maybe this tool will even save you some money as printing photo-quality holiday cards can get expensive! I have been enjoying building Astro apps, and, let's face it, using Cursor makes architecting this sort of thing a real breeze. Use your favorite AI tool to craft an app that will allow you to upload five…  ( 10 min )

TemplateFame.com is a platform designed to help creators, developers, and startups discover high-quality templates for various purposes. It serves as a curated directory, offering a wide range of templates to accelerate the building and launching process. Key Features: Use Cases: TemplateFame aims to streamline the template discovery process, providing a valuable resource for anyone looking to build and launch projects efficiently.  ( 6 min )

"You're a mechanical engineer? Why are you coding*?"* I get asked this in every interview. The assumption is always that engineering and web development are opposites. One deals with steel and forces; the other deals with DOM nodes and pixels. I disagree. To me, a React component is just a machine with inputs (props) and outputs (UI). So when I built my portfolio (yogavignesh.me), I didn't want a static "About Me" page. I wanted to prove that the web can handle real engineering physics. I built a Beam Deflection Visualizer that calculates stress and bending moments in real-time at 60FPS. Here is the engineering behind the code. The Material Data First, I mapped real-world material properties to JavaScript objects. `// src/components/BeamVisualizer.jsx const materials = { The Calculat…  ( 8 min )

All vector DBs claim "long-term memory," but how long is long? Zep, Mem0, Supermemory... mostly hype. OpenMemory is the only open-source option: self-hosted, local-first. github.com/CaviraOSS/OpenMemory #AIagents #OpenSource #AI  ( 6 min )

One of the most dangerous myths in frontend development is: "JavaScript has a Garbage Collector, so I don't need to manage memory." This is the kind of thinking that leads to Single Page Applications (SPAs) that start snappy but become sluggish and unresponsive after 45 minutes of usage. Today, we are going to look at the invisible tether that keeps dead objects alive: The Closure. To understand leaks, you need to understand how JavaScript deletes things. It uses an algorithm called Mark-and-Sweep. Imagine your application is a series of islands connected by bridges. The Main Island: This is the window (root). The Bridges: These are references (variables, properties). Periodically, the Garbage Collector (GC) starts at the Main Island and crosses every bridge it can find. If it can reach an…  ( 7 min )

Give Me 9 Minutes, I’ll Make You AI-Native In under 10 minutes you’ll learn three game-changing habits—dropping AI breadcrumbs, building an AI swipe file, planning projects AI-first—and a bonus habit to keep your prompts library alive. By weaving ChatGPT, Gemini and Claude into your workflow, you’ll save time, boost quality and never rebuild the same work from scratch. Each tip comes with its own timestamp for quick access, plus links to an AI systems course, essential prompt packs, a Notion command center and more to supercharge your AI-native journey. Watch on YouTube  ( 6 min )

30 Years of JavaScript: The Complete Evolution Guide December 4, 2025 - A comprehensive guide for developers to JavaScript and learning its complete history. The Beginning: JavaScript 1.0 - 1.5 (1995-2000) The Dark Ages: Browser Wars & Stagnation (2000-2005) The AJAX Revolution (2005-2009) The Modern Era Begins: ES5 & Node.js (2009-2015) The Renaissance: ES6/ES2015 (2015) Annual Releases: ES2016-ES2025 TypeScript Evolution (2012-2025) Server-Side JavaScript: Node.js & Beyond Frameworks & Libraries: Rise and Fall Testing Ecosystem Evolution Build Tools & Module Systems Package Management Current Landscape (2025) Brendan Eich created JavaScript in 10 days at Netscape in May 1995. Originally named "Mocha," then "LiveScript," finally "JavaScript." JavaScript 1.0 (December 1995) - Netscape Na…  ( 66 min )

Yesterday I shared how to set up a modern testing environment using Vitest + React Testing Library. Let’s walk through the classic Red → Green → Refactor TDD loop using a simple “Add Task” feature Before writing any UI, you define what the user should be able to do. In App.test.tsx: import { render, screen } from "@testing-library/react"; import userEvent from "@testing-library/user-event"; import "@testing-library/jest-dom"; import App from "./App"; test("user can add a new task", async () => { render(); const input = screen.getByRole("textbox", { name: /add task/i }); const button = screen.getByRole("button", { name: /add/i }); await userEvent.type(input, "Learn TDD"); await userEvent.click(button); // ✅ Expectation: the new task appears in the list expect(screen…  ( 7 min )

Introduction Participating in the 5-Day AI Agents Intensive Course by Google and Kaggle was one of the most transformative learning experiences I’ve had in the field of AI. Although the program was short, it was dense, hands-on, and focused on the future of intelligent systems: AI agents. Coming into the course, I had experience with machine learning and deep learning, but the concept of agentic systems—systems that sense, plan, act, and interact autonomously—was still relatively new. By the end of the program, my perspective completely shifted. I realized that agents are not just “smarter chatbots”—they represent a new generation of autonomous software. In this post, I’m sharing my key takeaways, insights, and reflections from this intensive journey. The Shift From Models to Agents One of…  ( 8 min )

AI's Pervasive Influence: Deep Dive into Health, Market Dynamics, and Platform Development This post explores the multifaceted impact of Artificial Intelligence across various sectors, delving into significant recent developments: Healthcare & Personalization: We examine the potential for AI to revolutionize personal health management, citing Google's exploration of Apple Health integration with ChatGPT. Furthermore, Philips' advancements in AI-powered medical imaging systems highlight the critical role of AI in diagnostics and patient care. Semiconductor Market Turmoil: The escalating demand for AI infrastructure is creating unprecedented pressure on the memory chip market. This section analyzes the resulting supply constraints, price hike warnings, and their implications for the broa…  ( 7 min )

This is a submission for the Google AI Agents Writing Challenge: Learning Reflections Coming from a business analyst background and only recently starting to learn Python, the AI Agents Intensive course has been a truly transformative experience for me. Before starting, I often felt unsure about how the technical components fit together when building an AI-powered application. This course provided a clear structure and broke down the agent-building process into logical, manageable steps. It helped me realize that creating an AI app isn’t about already being highly technical—it’s about understanding how different parts of a system interact and learning how to approach problems methodically. One of the concepts that resonated most with me was the architecture of AI agents—how they combine re…  ( 7 min )

The Psychology Behind Effective Reward System Design | Rewarders Blog - @import url("https://fonts.googleapis.com/css2?family=Charter:wght@400;700&family=Inter:wght@300;400;500;600;700&display=swap"); body { font-family: "Charter", "Georgia", serif; } .font-sans { font-family: "Inter", sans-serif; } /* Medium-style article typography */ .article-content { font-size: 21px; line-height: 1.58; letter-spacing: -0.003em; color: #242424; } .article-content h1 { font-size: 2.5em; line-height: 1.2; margin: 1.5em 0 0.5em; font-weight: 700; } .article-content h2 { font-siz…  ( 14 min )

Gamification Strategies 2025: Driving Engagement Through Play | Rewarders Blog - @import url("https://fonts.googleapis.com/css2?family=Charter:wght@400;700&family=Inter:wght@300;400;500;600;700&display=swap"); body { font-family: "Charter", "Georgia", serif; } .font-sans { font-family: "Inter", sans-serif; } /* Medium-style article typography */ .article-content { font-size: 21px; line-height: 1.58; letter-spacing: -0.003em; color: #242424; } .article-content h1 { font-size: 2.5em; line-height: 1.2; margin: 1.5em 0 0.5em; font-weight: 700; } .article-content h2 { …  ( 9 min )

The Moment Everything Clicked Five days ago, I thought AI agents were just chatbots with extra steps. Today, I'm watching three autonomous agents coordinate in real-time to predict environmental interventions for Delhi's air quality crisis. This isn't science fiction—it's what happens when you stop thinking about AI as a question-answering machine and start treating it as a collaborating intelligence. The Kaggle 5-Day AI Agents Intensive didn't just teach me to build agents. It fundamentally rewired how I think about solving problems with AI. The first breakthrough was deceptively simple: agents don't just respond—they act. We started with a basic agent that could use Google Search. But that single tool transformed everything. Suddenly, my AI wasn't frozen in January 2025. It could check…  ( 10 min )

Your shell's history search is probably slowing you down more than you realize. Whether you're hammering the up arrow 100 times or fumbling through CTRL + R, there's a better way. I've used all three approaches: out-of-the-box shell history, McFly, and Atuin. Here's what I learned. Every shell comes with history search built in. In zsh and bash, you press CTRL + R and start typing. It's basic. Really basic. You get a single-line prompt that searches backwards through your history. No context. No ranking. No filtering by directory or recency. Just raw chronological search. If you have a common command you run in different contexts, good luck finding the right one. You'll be pressing CTRL + R repeatedly, hoping you land on the version you actually need. The experience looks like this: you p…  ( 10 min )

I recently built a backend engine to solve a boring but massive problem in e-commerce: Taxonomy Mapping. Watch the demo test: The goal was simple: Take a messy CSV of 20,000 products and map them to the official Google Taxonomy IDs using an LLM. The problem? Rate Limits. If you try to Promise.all() 2,000 requests to OpenAI, three things happen: Memory Spike: Loading a 15MB+ CSV into a variable kills the Node process. 429 Errors: OpenAI bans you for hitting the Request Per Minute (RPM) limit instantly. Error Collapse: Promise.all fails fast if one request fails, ruining the whole batch. Here is the architecture I built to process 450+ requests per minute reliably using Node.js Streams and Bottleneck. Loading a large CSV into memory is a rookie mistake. I switched to fs.createReadStream comb…  ( 8 min )

I recently built Qik Seek, a modern search engine designed to be fast, visually appealing, and easy to use. My goal was to create a clean interface with interactive features that make searching the web and images enjoyable. One of the first things I focused on was the theme system. Users can toggle between dark and light modes seamlessly. In light mode, the background features a beautiful image of the Earth, while dark mode gives a sleek, minimal vibe. I also added a custom cursor with trailing effects. It’s subtle but adds a dynamic, interactive feel when navigating the page. Small touches like this help make the user experience more engaging without being overwhelming. The search functionality uses Google Custom Search Engine (CSE). The search bar adapts to the theme, ensuring consistent visuals whether in dark or light mode. Users can also directly open URLs if they type them into the search box. For deployment, I chose Netlify. It’s fast, easy to use, and perfect for static sites like Qik Seek. I also added proper SEO metadata, schema.org markup, and OpenGraph tags so that the site is well-indexed and shareable. Overall, building Qik Seek taught me a lot about front-end development, dynamic theming, and enhancing user experience with small interactive touches. It’s a simple project, but it’s rewarding to see users enjoy it. You can try it out here: qikseek.netlify.app  ( 6 min )

Introduction Business operations today are overflowing with complex decisions — assigning the right employee to a shift, planning logistics routes, or scheduling limited resources. When these are coordinated manually, inefficiencies grow. That’s where OptaPlanner comes in,a powerful optimization engine designed to automate decision-making and boost operational efficiency. Whether you are running a logistics business, a hospital, or an educational institute, OptaPlanner takes the complexity out of planning. OptaPlanner is an open-source constraint solver built on Java. It enables enterprises to optimize planning and scheduling problems such as employee rostering, vehicle routing, and resource allocation. It integrates seamlessly into custom enterprise applications and can handle real-time…  ( 7 min )

In the world of data science, there is an old axiom that holds truer in aviation than perhaps any other industry: Garbage In, Garbage Out. If you are building a predictive model, whether it’s to forecast flight delays, optimize supply chain logistics, or power a dynamic pricing engine, the architecture of your machine learning (ML) model is secondary to the quality of your training data. And aviation data is notoriously "dirty." It is a chaotic ecosystem of changing call signs, shifting time zones, complex codeshare agreements, and operational irregularities. If you feed raw, unprocessed JSON directly into a neural network or a regression model, your predictions will fail. This guide explores the specific data engineering pipeline required to normalize historical airline flight data. We wi…  ( 10 min )

AI coding assistants have become a hot topic. Some developers say they are terrible and slow them down, while others say AI helps them work faster and reduce mental load. So why is the experience so different? What are some people doing wrong, and what are others doing right? This post explains how AI coding assistants actually work, how to give them the right context, and how you can get much better results by improving your prompts and your workflow. AI models are not magical coders who understand your project automatically. They only know what you tell them. Think of each model as an empty box (its context window). If you don’t fill that box with the correct and relevant information, the assistant will guess and usually guess wrong. Before asking an AI assistant to perform a task, it ne…  ( 8 min )

Java's getExponent() Method: No More Guessing with Floats and Doubles Look, we’ve all been there. You’re coding along, minding your own business, and then you hit a wall with floating-point numbers. Your calculation 0.1 + 0.2 doesn’t neatly equal 0.3, some sensor data looks weird, or a financial rounding operation goes slightly off. You get that gut feeling: “Something’s up with how Java is storing this number.” And you’re right. Under the hood, float and double in Java follow the IEEE 754 standard. It’s like a secret recipe for representing decimal numbers in binary. The problem? Sometimes you need to peek into that recipe. You need to know, scientifically, what’s going on. That’s where the unsung hero, getExponent(), comes into play. This isn’t just another method in the Math class you…  ( 11 min )

Nobody really wants to see how sausage is made, do they? The process is messy, unglamorous, and usually skipped over in the final presentation (and oh boy, are we glad of it! 🤮🤮🤮)… but if you skip the "sausage-making", you never get the "full omelette"! mmm, sausage... ...But we're not talking about breakfast foods today, we're talking about technology! In our world, most people would prefer to focus on shiny new features or huge cost savings stories rather than attend to the gritty details like testing, refactoring, and tooling. But without these "sausage-making" activities, the full DevOps "meal" (with all the acceleration and improvement that we crave) is always just out of reach. My team at work recently went through this firsthand... so today we're going to explore an instance…  ( 13 min )

MySQL uses Nested-Loop Join (NLJ) algorithms to evaluate joins. Simply put, it takes one row from the first table, then scans the next for matches. Add a third table and it loops again. In the worst case, you face O(n²) time complexity 😳. There is good news though, built in optimizations keep real-world performance much lower. Imagine you have 3 tables that you are joining: t1, t SELECT * FROM t1 JOIN t2 ON t1.t2_id = t2.id JOIN t3 ON t2.t3_id = t3.id; The pseudocode for the NLJ algorithm is roughly the following: for each row in t1 for each t2 matching t1.t2_id for each t3 matching t2.t3_id return row if join condition is met Each inner loop runs for every row of the outer loop. You can see how this could get out of hand fast if your tables are big, No WHERE clause, no indexes? Good luck. MySQL uses what the docs call "condition pushdown": the relevant parts of the where clause will be evaluated at each loop level. Meaning, the where condition of t2 will be evaluated on the t2 loop alongside the join condition and so on: SELECT * FROM t1 JOIN t2 ON t1.t2_id = t2.id JOIN t3 ON t2.t3_id = t3.id WHERE t2.status = 'active'; Here, MySQL won’t join everything and then filter by t2.status. It will filter t2.status = 'active' while it’s looping through t2 and will only pass those resulting rows into the t3 check. This is why adding selective indexes is so important for optimization, especially with joins. Indexes help MySQL skip over the rows that are irrelevant to the results. Without them, It’s scanning everything over and over. But even with the best indexes, joins on massive tables are still going to be inefficient. So when you're designing your database, think about the future. Are these tables going to grow? Can you avoid complex joins later? Do you need to denormalize some of your tables? A little planning now saves a lot of pain down the road.  ( 7 min )

You know that feeling when you're trying to get work done and someone keeps tapping your shoulder for approval? "Is this okay?" Tap. "How about this?" Tap. "Should I do this next?" Tap tap tap. That's what using most AI coding assistants felt like to me. I'd ask it to add a feature, and then - instead of just doing it - it would present me with a diff and wait. Like a puppy showing me its toy, waiting for validation. Every. Single. Time. I was babysitting an AI like it was a toddler with scissors. And I kept thinking: "These models are getting scary good. Claude 4.5 Sonnet gets things right maybe 70-80% of the time on first try. Why am I still approving every comma it wants to add?" So I built something different. Something that would just do the thing and let me fix it if it screwed up. I…  ( 12 min )

Terraform is a solution to provision infrastructure using code (IaC). You can use S3 as the backend of the state like this terraform { required_providers { aws = { source = "hashicorp/aws" version = ">= 4.0" } } required_version = ">= 1.0" backend "s3" { bucket = "terraform-state-dev" key = "my-key" region = "us-east-1" shared_credentials_file = "~/.aws/credentials" } } You can have a single key to store all your Terraform state, or you can have one key for each Terraform state. You can start your Terraform using terraform init After any terraform apply or terraform apply the state in your S3 will be updated. At Woovi, we decided to have one key per Terraform provision. You can use this command to migrate existing local or another backend state to your S3 bucket terraform init -migrate-state If you lose your Terraform state, this can cause significant trouble. Woovi Woovi is a fintech platform revolutionizing how businesses and developers handle payments in Brazil. Built with a developer-first mindset, Woovi simplifies integration with instant payment methods like Pix, enabling companies to receive payments seamlessly and automate financial workflows. If you want to work with us, we are hiring!  ( 6 min )

Hey DEV Community 👋, I’m Ibrahim—a tech architect turned founder, building at the intersection of AI and blockchain. With over 15 years in software and now leading IrusSoft and NextChainX, I’ve spent the last few years diving deep into Web3, DeFi, and decentralized ecosystems. My journey started in traditional software and scaled through roles like Head of Software at MobiTising, but the shift toward blockchain felt inevitable. Today, I’m focused on building tools and platforms that empower developers and creators—especially within the Solana ecosystem. 🔧 What We're Building At NextChainX, we’re crafting developer-first tooling for blockchain builders, including a full Solana Toolset for smart contracts, token creation, and transaction analysis. We’re also pioneering hybrid NFT models wi…  ( 7 min )

There is a famous programming koan by Anton van Straaten: The venerable master Qc Na was walking with his student, Anton. Hoping to prompt the master into a discussion, Anton said "Master, I have heard that objects are a very good thing - is this true?" Qc Na looked pityingly at his student and replied, "Foolish pupil - objects are merely a poor man's closures." Chastised, Anton took his leave from his master and returned to his cell, intent on studying closures. He carefully read the entire "Lambda: The Ultimate..." series of papers and its cousins, and implemented a small Scheme interpreter with a closure-based object system. He learned much, and looked forward to informing his master of his progress. On his next walk with Qc Na, Anton attempted to impress his master by saying "Master, I…  ( 31 min )

Hey dev.to community! 👋 In an era where AI tools like ChatGPT and Claude have become essential for developers, privacy concerns are more relevant than ever. What if your AI assistant worked completely offline, without sending your code snippets, architecture diagrams, or sensitive project details to third-party servers? Let me introduce you to my pet project — Oxide Lab. Oxide Lab is a desktop application that lets you chat with AI models entirely locally, with a focus on simplicity, security, and full control over your data. It's open-source under the MIT license, and I built it specifically for developers who value privacy. Let's dive into what makes it special and why you might want to give it a try. Cloud-based AI services are convenient, but they come with significant trade-offs: Su…  ( 9 min )

Introduction A typical example: Account A (Consumer): Runs EC2 instances or applications Account B (Source): Hosts container images in Amazon ECR The challenge: 👉 To solve this, AWS supports secure cross-account ECR access using IAM Roles + ECR Repository Policies. Architecture Overview EC2 instance in Account A assumes an IAM Role IAM Role has permission to authenticate with ECR ECR Repository in Account B trusts this IAM role EC2 logs in → pulls the container image Step 1: Create IAM Role for EC2 in Account A You need an IAM Role that your EC2 instance will use. 1.1 Choose EC2 as the trusted entity During IAM role creation: Trusted Entity: EC2 1.2 Attach the policy below: (This goes into Account A, attached to the EC2 IAM Role) { "Version": "2012-10-17", "Statement": [ …  ( 7 min )

This is a submission for the AI Challenge for Cross-Platform Apps - Hot Design Showcase I built Terra Nova, a cinematic travel discovery application designed to bridge the gap between high-utility booking apps and immersive travel journalism. The goal was to break away from the standard "list of cards" UI pattern. Instead, I focused on Full-Bleed Immersive Visuals, using a parallax-style carousel where the destination itself is the UI. The app features: Cinematic Carousel: A full-screen FlipView experience with high-resolution imagery. Layered Depth: A distinct visual hierarchy using Z-index layering (Background Image -> Gradient Overlay -> Content). I was inspired by the clean, typography-driven layouts found in luxury travel editorials and the immersive discovery flow of Airbnb Luxe. My …  ( 7 min )

LangBot is a multi-platform chatbot framework that supports QQ, WeChat, Discord, Telegram, Slack, LINE, DingTalk, and Lark. One of its most powerful features is the support for multiple AI runners, including workflow platforms like Dify, n8n, Langflow, and Coze, as well as direct integration with OpenAI, Claude, and other LLM services. Dify is an open-source LLM application development platform with visual Chatflow functionality, allowing you to build intelligent conversational applications without coding. This guide shows you how to integrate Dify Chatflow into LangBot to give your bot powerful AI capabilities. A running LangBot instance A Dify account (you can use cloud.dify.ai) If you haven't deployed LangBot yet, quickly start it with Docker: docker run -d \ -p 5300:5300 \ -v ./dat…  ( 8 min )

"Ah, HTML? Isso é fácil. É só um monte de tags. Coloca um div aqui, um div ali, um div em cima de outro div... pronto, frontend feito." Se você já ouviu (ou disse) algo assim, este artigo é para você. Você manda bem em Go, Node.js, Python, Java. Domina bancos de dados, otimiza queries, cria APIs RESTful que escalam, lida com autenticação, criptografia e concorrência. Pode debugar um problema de race condition em produção enquanto toma um café. Aí surge aquele projeto interno, aquele MVP, ou pior, a única pessoa do frontend da equipe pede demissão. Você pensa: "Tranquilo, é só HTML e CSS. Vou resolver em uma tarde." Spoiler: Você vai descobrir que HTML é um dos negócios mais subestimados da programação. E não, a resposta nunca é "mais uma ". que vira pesadelo real <!-- O "es…  ( 10 min )

Introduction Microsoft Azure includes Azure Secure Score as a free tool. It checks if your cloud assets match key security rules. It shows your organization's security state as a number in Microsoft Defender for Cloud. Azure Secure Score checks your Azure setup in major security areas and gives points when you complete suggested actions. • Each recommendation has a specific weight based on its impact. Azure Secure Score works closely with: In today’s threat landscape, Cloud Security is not a one-time setup — it’s an ongoing process. Key benefits: • Catches setup errors before hackers strike • MFA status • Encryption at rest and in transit • VM vulnerability management • Network Security Groups (NSGs) These top actions raise your Secure Score quickly: MFA gives the largest score boost and…  ( 9 min )

Client Profile Our client, a U.S. health insurer collaborating with multiple hospital systems, aimed to aggregate and harmonize anonymized claims and clinical data in the PCORnet Common Data Model (CDM) to support large-scale outcomes research and operational analytics. The incoming medical and billing feeds came from heterogeneous hospital and payer systems with inconsistent schemas, variable data quality, and no unified governance. The client asked SciForce to design and implement a sustainable, cloud-native ETL/ELT pipeline on Snowflake that would: 1) Continuously integrate raw source feeds into a centralized Snowflake data platform; 2) Transform them into a PCORnet-conformant CDM with strong data quality guarantees; 3) Enable near real-time analytics for patient demand forecastin…  ( 11 min )

In this guide, you’ll learn 10 easy, practical, and proven techniques to speed up your Shopify store, backed by real-world insights. We’ll break everything down in a simple, conversational way, so you can optimize your Shopify store without feeling overwhelmed. Shopify performance isn’t just about user experience, it's tied directly to SEO, conversions, Google metrics, Core Web Vitals, and your brand credibility. A slow Shopify site can hurt: Page load speed and crawlability Bounce rate and session duration Mobile performance Organic ranking and paid ad quality score Even a 1-second delay can significantly reduce conversions, especially in the USA market, where customer expectations are sky-high. A faster site simply means a more optimized Shopify store, happier customers, and better sales…  ( 9 min )

How a 5-Day AI Agents Intensive Course Helped Me Build FoodMate, A Multi Agent Food Concierge When I signed up for the Google × Kaggle 5-Day AI Agents Intensive, I didn't expect to finish a polished project in a single week. But the course structure, hands-on codelabs, and community support gave me the confidence to build something simple, useful, and real: FoodMate, a multi-agent food recommendation assistant. The biggest idea that stuck with me was that agents are teams, not single models. Separating tasks into agents as preference, nutrition, verification, made the system easier to reason about, test, and extend. The course showed practical patterns: Tool use & grounding (how to fetch external info safely) Function calling and structured outputs (so downstream apps can use results) …  ( 7 min )

The U.S. government's decision to take a 9.9% equity stake in Intel through the CHIPS Act represents more than just another industrial policy intervention—it marks a fundamental shift in how democratic governments engage with critical technology companies. This isn't the emergency bailout model of 2008, where governments reluctantly stepped in to prevent economic collapse. Instead, it's a calculated, forward-looking strategy that positions the state as a long-term partner in shaping technological sovereignty. As Intel's share price fluctuated around $20.47 when the government acquired its discounted stake, the implications rippled far beyond Wall Street—into boardrooms now shared by bureaucrats, generals, and chip designers alike. This deal signals the emergence of a new paradigm where the…  ( 27 min )

The 0.33-Second Coherence Framework: A Timing Architecture for Safer, More Stable AI Systems Most discussions about AI safety and performance focus on accuracy, compute, or model size. But underneath all that lies a deeper variable that quietly shapes how intelligent systems behave: Timing. Not timing as in “speed” — but the micro-intervals at which decisions, control loops, and interactions occur. Across robotics, distributed systems, reinforcement learning, and human motor control, we see a consistent pattern: Instability appears milliseconds before failure. And the instability is almost always a timing problem. This raises a simple question with big implications: Is there a timing interval where systems naturally stabilize? Our research suggests yes — and that interval appears to …  ( 9 min )

By late 2026, the concept of a "trip planner" will have evolved from a passive itinerary tool into an autonomous travel agent. Users will no longer want a tool that just lists options; they will demand an agent that executes decisions, predicts disruptions, and "heals" broken itineraries in real time without human intervention, an evolution largely driven by innovations from every leading travel software development company Here is an in-depth guide on developing a Smart AI Trip Planner App for the 2026 landscape. 1. The Vision: From "Planner" to "Agentic Companion" In 2024–2025, apps were "wrappers" around ChatGPT that spit out text itineraries. In 2026, the standard is Agentic AI. Your app must not just suggest a hotel; it must be able to negotiate the price, book it, and automatically…  ( 9 min )

When I first joined the 5-Day AI Agents Intensive, I had curiosity — and a long list of questions. What really is an AI agent? How far can it go beyond simple chatbots? And could I actually 'build' one, not just read about it? **Day 1. felt like stepping inside a new language. We explored the mind of an AI agent — how it perceives, thinks, and acts through goals and tools. It wasn’t just about coding; it was about giving logic to curiosity. The moment I saw an agent plan and execute a task on its own, something clicked: this isn’t magic—it’s systems thinking. ** Day 2. was all about building structure: prompts, memory, reasoning loops. My brain felt like it was rewiring itself, learning to think like an architect of intelligence. Each demo sparked new ideas — an assistant that could write scripts, manage data, or even help run a YouTube channel efficiently. By ** Day 3. I wasn’t just learning; I was experimenting. I began connecting tools, giving my agents “eyes” and “hands” through APIs. Watching them search, summarize, and even correct themselves was oddly human — like watching curiosity come alive in code. ** Day 4. brought collaboration. Seeing others’ AI projects and sharing mine gave me that community spark — realizing everyone’s building towards the same dream: creating digital minds that work with us, not just for us. Finally, on ** Day 5. it all came together. My first real agent — a small system that could plan content ideas for YouTube — ran successfully. That moment felt like handing over a notebook to a curious digital partner. I walked away not just with skills, but with vision: AI agents aren’t the future… they’re the new teammates.  ( 7 min )

TL;DR: We can use Amazon API Gateway's WebSocket API to keep the front-end up to date with the latest data, providing a near-real-time alternative to polling a REST API endpoint for status notifications. 1. The scenario 2.1. Requirements 2.2. Options 2.3. Diagram 3. Pre-requisites 4.1. Ingestion 4.2. Click data persistence 4.3. Dashboard connection 4.4. Persisting connection IDs 4.5. Retrieving data from the table 4.6. Broadcasting click data 4.7. Receiving click results 5.1. No need for a REST API? 5.2. Asynchronous workflows 5.3. Flexibility 6. Summary Suppose we operate a click data processing application. Customers interact with links and buttons on our page, and the application records the number and type of clicks. Our application also features a dashboard where authorized users moni…  ( 13 min )

Artificial intelligence has shifted from static prompt–response patterns to systems capable of taking structured actions. These systems are known as AI agents. Although the term is often stretched in marketing, the underlying architecture is practical and grounded in well-understood software principles. _I took the 5-day AI agents intensive course with Google and Kaggle, and I promised myself to document what I learned each day. This article will be part of a 5-part series where I go through each day with what I have learned and share my knowledge with you. Now, this article outlines the foundational concepts needed to build an AI agent. It also sets the stage for subsequent posts that will explore implementation details, tool integration, orchestration, governance, and evaluation. This …  ( 10 min )

Bu yazı, Liman MYS eklenti şablonunu kullanarak, Basic Authentication (Kullanıcı Adı/Şifre) ile korunan bir Elasticsearch API'sine bağlanmayı ve veri çekmeyi adım adım anlatır. Bu rehber, zaten çalışan bir Liman MYS geliştirme ortamınız olduğunu varsayar. Eğer henüz sunucunuza SSH ile bağlanmadıysanız, liman kullanıcısı için yetkilendirme yapmadıysanız, VS Code Remote - SSH eklentisini kurmadıysanız veya Node.js/pnpm kurulumunu tamamlamadıysanız, lütfen öncelikle aşağıdaki rehberi okuyun: ➡️ Referans: Liman MYS Eklentisi Geliştirme Ortamı Sorun Rehberi Bu rehberdeki adımları tamamladıktan sonra buradan devam edebilirsiniz. db.json) Amacımız Eklentimizin, bağlanacağı API'nin adresini, kullanıcı adını ve şifresini Liman arayüzünden güvenli bir şekilde almasını sağlamak. db.json dosyası, Li…  ( 12 min )

Введение 👁️ Представления (Views) Упрощение (Simplifying) Агрегация (Aggregating) Common Table Expression (CTE, Общее Табличное Выражение) 🧱 Разделение (Partitioning) Мы уже научились как создавать базы данных и добавлять данные. Теперь мы рассмотрим способы получения представлений (View) данных. авторы авторы_книги книги +----+----------------+ +----------+----------+ +----+----------------+ | id | имя | | автор_id | книга_id | | id | название | +----+----------------+ +----------+----------+ +----+----------------+ | 23 | Ева Балтасар | | 23 | 1 | | 1 | Валун | +----+----------------+ +----------+----------+ +----+----------------+ | 31 | Хан Кан | | 31 | 74 | | 74 | Белая книга | +----+--…  ( 11 min )

In the Glass, Ceramics & Concrete Manufacturing sector, kiln performance is more than an operational requirement—it is a competitive advantage. Small to mid-sized manufacturers across the United States rely on kilns to support high-temperature processes that define product quality, production speed, and profitability. Yet despite how essential they are, kilns are often one of the most overlooked components when companies evaluate efficiency, energy costs, maintenance budgets, and workforce productivity. At BrightPath Associates LLC, we work closely with companies that face these exact challenges. Whether it’s identifying operational leaders who understand refractory systems or sourcing engineers who can optimize kiln design, we consistently see a direct relationship between kiln efficiency…  ( 9 min )

The regulatory landscape for waste management in the UK and EU is undergoing a significant transformation. Governments are increasingly emphasising environmental sustainability and the circular economy, compelling organisations to re-evaluate their strategies at the highest levels. This isn't merely about operational tweaks; it demands a fundamental reassessment of risk management, capital investment, and organisational capability by commercial property owners and portfolio managers. Understanding and responding to these new waste directives is now a critical boardroom discussion, impacting everything from compliance to competitive advantage. The European Union's 2025 revision of the Waste Framework Directive, effective from October 2025, introduces stringent new requirements. These includ…  ( 9 min )

If you’re a blogger or content creator, you might already know how powerful Pinterest can be — but many underestimate its potential to drive consistent, long-term traffic. Unlike other social media platforms, Pinterest works more like a search engine than a feed, meaning your content can keep attracting visitors months or even years after you post. Here’s a step-by-step guide to leveraging Pinterest effectively to boost your blog traffic. Start by making your profile professional and searchable: Use your blog name or brand as your profile name Include a clear profile picture or logo Write a keyword-rich bio describing your niche Add your blog link in the website section A complete profile builds credibility and helps Pinterest understand your niche for better search placement. Your pin is …  ( 7 min )

Liman MYS, sunucu yönetimini kolaylaştıran güçlü bir platform olmasının yanı sıra, esnek eklenti altyapısıyla da öne çıkar. Bu rehberde, "Liman Extension Template" adını vereceğimiz hazır bir eklenti şablonunu kullanarak, kod değişikliklerimizi anında Liman arayüzünde görebileceğimiz profesyonel bir geliştirme ortamını nasıl kuracağımızı adım adım inceleyeceğiz. Geliştirme ortamını kurmadan önce, üzerinde çalışacağımız eklentinin Liman tarafından tanınması gerekir. Bu nedenle, hazır eklenti şablonumuzu sisteme yüklüyoruz. Liman MYS web arayüzünde oturum açın ve sağ üst köşedeki Ayarlar simgesine tıklayın. Açılan menüden Sistem Ayarları seçeneğine ve ardından sol menüden Eklentiler sekmesine gidin. Yükle butonuna tıklayarak bilgisayarınızdaki .zip uzantılı eklenti şablonu dosyasını seçi…  ( 11 min )

GUIA PRACTICA DESDE 0 PARA PROYECTOS EN HIBERNATE USANDO JAVA HibernateUtil.java package org.example; import org.hibernate.SessionFactory; import org.hibernate.cfg.Configuration; public class HibernateUtil { private static final SessionFactory sessionFactory = buildSessionFactory(); private static SessionFactory buildSessionFactory() { try { return new Configuration().configure().buildSessionFactory(); } catch (Throwable ex) { System.err.println("Error en la creacion de SessionFactory: " + ex); throw new ExceptionInInitializerError(ex); } } public static SessionFactory getSessionFactory() { return sessionFactory; } public static void shutdown() { getSessionFactory().close(); } …  ( 7 min )

According to Coinbase analysts’ State of Crypto Q2 2025 report, the share of small and medium-sized businesses (SMBs) using cryptocurrency has doubled in a year: 34% of companies now work with digital assets (up from 17% in 2024) Stablecoin usage jumped from 8% → 18% Businesses accepting or making crypto payments rose from 16% → 32% In short: crypto adoption isn’t “coming someday.” For a global SMB, stablecoins are basically wire transfers… minus the 3-day wait, minus the $40 fee, minus the headache. Businesses learned this the hard way: when you send a stablecoin, it lands in seconds, not “between Monday and maybe Thursday.” The real MVPs of crypto adoption are On/Off-Ramps - the tools that let businesses convert fiat → crypto → fiat without a PhD in DeFi. Some of the most widely used…  ( 7 min )

Good hosting isn’t just about servers, SSDs, or uptime — it’s also about support. Whether you're launching a client website, managing a high-traffic app, or running your own blog, the quality of a hosting provider’s customer support can make all the difference. InterServer is known for being one of the more straightforward hosting companies out there, but what does their customer support really look like? Here’s a breakdown of what users and developers can expect. InterServer’s support team is available around the clock. Instead of being routed through layers of automated chatbots, users often interact with real human technicians. Why this matters: Faster diagnosis of issues Clearer explanations Less frustration for beginners and advanced users alike For developers, getting help from someo…  ( 7 min )

The conversation around artificial intelligence is shifting from passive tools to active partners. By 2026, agentic AI will redefine how businesses operate and defend themselves against threats. These autonomous systems don't just follow commands; they understand goals, create plans, and execute complex tasks with minimal human input. This leap beyond traditional automation enables adaptive, context-aware responses at a scale previously unimaginable. For enterprise and cybersecurity leaders, understanding the coming key agentic AI trends for enterprise and cybersecurity 2026 isn't just about staying current—it's about strategic survival and gaining a decisive competitive edge. As we look toward 2026, the concept of AI is moving beyond chatbots and analytics engines. We are entering an era …  ( 13 min )

Your application must accept user‑uploaded video files (average size ≈ 150 MB, peak size ≈ 1 GB) and store them in Amazon S3. Requirements: Direct client upload (no server‑side proxy) with minimal latency. Server‑side validation of file type and size before the object becomes publicly accessible. Automatic virus scanning after upload. Retention policy: keep objects for 90 days, then archive to Glacier Deep Archive. Access control: only authenticated users can read their own files; no public read access. Design the S3 architecture and supporting AWS services to satisfy these constraints. Include the steps a client follows, the AWS resources you would configure (cost, latency, complexity). Client requests a pre‑signed PUT URL from your backend API (e.g., /upload-url?filename=video.m…  ( 8 min )

Things are finally moving again! 🚢 the Cloud Native Engineer newsletter is back in full swing after a quiet year. Here's what's been happening: ✨ Brand new logo that better represents what we're all about The cargo is loaded, and we're ready to sail into more technical deep dives, practical insights, and cloud-native goodness. Thanks for sticking with me during the quieter period. Exciting things ahead!  ( 6 min )

A simple case study on what works, what doesn’t, and what designers learned from it. The Liquid Glass UI trend has suddenly become the center of every design conversation. Apple introduced it with iOS 26, and the style spread fast. It looks soft, modern, and a little futuristic. But the real question is simple: Is it actually useful or just visually exciting? Let’s break it down with a real example and the core facts. Liquid Glass UI creates a frosted-glass feeling using blur, transparency, and depth. It looks like smooth layers floating over the background. Apple mostly uses it in navigation bars, panels, and overlays to separate content without adding heavy shadows. Many people compare it with glassmorphism, but they are not the same. Glassmorphism is broad and sometimes looks artificial…  ( 8 min )

Why Exchange Access Needs Protection Coinbase, Bybit, and Binance are three major players in the crypto industry with millions of users. But in 2025, they face new challenges: increased government control, blocks in various countries, DDoS attacks, and data leak risks. A VPN has ceased to be optional and become a critical tool for asset protection and stable trading. The key point: using a VPN to protect your connection to crypto exchanges is legal in most countries and recommended by security experts. Coinbase — exchange for beginners Learn more about VPN for Coinbase Bybit — derivatives platform Learn more about VPN for Bybit Binance — largest crypto exchange VPN provides access and protects API keys from interception. Learn more about VPN for Binance 1. Crypto traders in restricted co…  ( 8 min )

The Internet of Things (IoT) is one of those buzzwords that's everywhere, but how many of us truly understand the architecture, protocols, and practical implications? Today, I'm breaking down IoT from both a technical and practical perspective—whether you're a developer looking to build IoT solutions or just curious about how your smart devices actually work. 🎯 What We'll Cover IoT architecture and data flow Communication protocols (MQTT, CoAP, HTTP/HTTPS) Edge computing vs. cloud processing Security considerations for developers Real-world implementation examples APIs and integration patterns Future trends (5G, AI/ML integration) 🏗️ The Technical Architecture IoT systems typically follow a four-layer architecture: 1. Perception Layer (Sensors/Actuators) Data collection through sensors P…  ( 8 min )

Over the last week, I’ve had one of the most eye-opening learning experiences thanks to the Google x Kaggle 5-Day AI Agents Intensive. Going into the course, I had a very traditional understanding of Large Language Models: powerful tools that generate text, write code, summarize documents, and answer questions. By the end of the intensive, that view felt almost outdated. This post is my reflection on what I learned, the ideas that stuck with me, and the capstone project I built: a Market Sentiment Monitoring and Alert Agent. 🌟 The Turning Point: Understanding Tools + Reasoning The biggest “aha!” moment for me was understanding how agents use ReAct loops — the combination of Reasoning + Acting. Before the course, if I asked an LLM, “What’s the current market sentiment?” it would give a gen…  ( 8 min )

Before Submission articles plagarism check is mandatory it is the play critical role in the Publications...... Research Progress Techlonogy Plagiarisms  ( 5 min )

Artificial Intelligence is transforming the way software is designed, developed, and tested. For years, engineering teams have relied on manual processes, human created assertions, and extensive QA cycles to validate their products. Today, AI powered testing tools are changing that reality by accelerating test creation, improving accuracy, and enabling teams to validate complex workflows that traditional methods often fail to cover. As modern applications depend on distributed services, microservice based logic, and rapid delivery pipelines, the need for reliable automated testing has grown. AI is becoming a force multiplier, supporting developers and QA engineers through all stages of the testing lifecycle, from small units of logic to the full customer journey. Unit tests represent the b…  ( 8 min )

Choosing the right hosting provider can make or break a website — especially for small businesses, startups, and developers managing multiple client projects. InterServer is one of those underrated hosting platforms that consistently delivers strong performance, solid security, and honest pricing. But beyond features, what really proves a hosting provider’s value is what real businesses experience after switching. Here’s a breakdown of how different types of businesses have grown with InterServer — and what developers can learn from their success. Many small businesses struggle with slow sites, downtime, and confusing renewal fees on other hosting platforms. After switching to InterServer, business owners often report: Faster load times thanks to LiteSpeed and SSD storage Better uptime con…  ( 7 min )

I met Florian Enner a few times at Devoxx in Belgium, and each time he amazed me with his JavaFX demos! He is one of those rare developers who take JavaFX to the next level by adding 3D visualizations. About Florian Florian works on software libraries and applications that are aimed at simplifying development of robotic systems. For example, he has worked on an API for MATLAB that is capable of low-latency real-time control of high degree of freedom systems. It allows engineers without a strong background in computer science to develop sophisticated control algorithms without requiring knowledge of C/C++ or code generation. You can find him on: LinkedIn GitHub Talk at Devoxx BE 2025 YouTube Channel In the video, Florian shows some of the JavaFX applications he has created to visualize the movements of robots in a 3D environment and the measurements of sensors in charts capable of rendering millions of data points. Based on the same code, he has created desktop and mobile applications that can receive the UDP messages directly from the devices and render the same charts and 3D. He also demonstrates styling with AtlantaFX, the use of SceneBuilder, and how he compiles JavaFX views to native libraries so they can be integrated in C/C++ projects to visualize big amounts of data. 00:00 Who is Florian 01:53 Demo of the robot visualization application 04:06 Displaying large amounts of data in (scientific) charts Library: ChartFX 07:26 3D in JavaFX Library: FXyz3D FXyz Issue "Contributing 3D Canvas and improved CubeWorld?" Blog post: JavaFX 3D - A Look Back Through History & Some Experiments 09:41 Most challenging parts of the application 10:09 History of the layout 11:34 Design in SceneBuilder with includes to create components 13:40 Styling with AtlantaFX Library: AtlantaFX 15:04 Using the same UI on mobile devices 16:49 Why a desktop application? 17:29 More demos! 25:23 Demo videos on YouTube 27:23 Combining JavaFX as a C library in a C++ project Click here for more posts with JFX In Action videos.  ( 10 min )

Walk into a Target or Walmart these days and you'll notice something different. Fewer lines. More kiosks. Robots rolling down aisles scanning shelves. What felt like sci-fi five years ago is now just... Tuesday. The retail automation market hit $29 billion in 2024. By 2034? We're looking at nearly $72 billion. That's not hype—that's retailers voting with their wallets because automation actually works. Consider what's driving this shift. Automating a distribution center can double productivity while cutting labor needs in half. Fulfillment centers are seeing 60% cost reductions. Self-checkout alone is expected to handle 40% of all retail transactions globally by 2026. Those aren't incremental improvements. That's a fundamental rewiring of how stores operate. The labor shortage conversation…  ( 7 min )

Following the recent announcement of the retirement of the popular Kubernetes Ingress controller, Ingress-Nginx, it is advisable that administrators explore alternatives. While other controllers like Traefik, nginx-ingress, are still good options at the moment, it is clear the community is moving away from Ingress as Kubernetes have made it known that the API itself is no longer actively developed. Kubernetes is a popular cloud-native platform for deploying, scaling, and managing containerised applications. By default, applications deployed in a Kubernetes cluster are not exposed to the internet, so you need a way to make them accessible and a central way to route traffic to the specific services running in the cluster. This is the solution that Ingress provides. For years, Ingress has han…  ( 9 min )

You are building a public REST API that invokes a Go‑based Lambda function via API Gateway (REST API). The API must meet the following security requirements: Only authenticated clients with a JWT issued by a custom OAuth2 provider can call the endpoint. The Lambda function should have least‑privilege access: it must read from a specific DynamoDB table and write logs to CloudWatch, but nothing else. The API should enforce per‑method throttling (e.g., 100 RPS for GET, 20 RPS for POST) and protect against injection attacks. Describe the complete configuration you would apply—including API Gateway authorizer, IAM roles/policies, and any additional AWS services—to satisfy these requirements. Highlight any trade‑offs or operational considerations. Step Action Create a Lambda authorize…  ( 7 min )

This article was originally written by Serena Sensini in Italian and published on theRedCode. It was translated and reposted with her permission. In the world of software development, clear documentation and fast bug resolution through shared debugging are key factors for the success of any project, especially in teams working across multiple stacks with fast release cycles. Imagine, for simplicity, that you’re building an app to search for emojis using their Italian names (e.g. 😘 EN = Kiss, IT = Bacio). In other words, a system offering emoji filtering and suggestion features through APIs, paired with a dynamic interface and smooth user experience. This scenario highlights the tension between an agile workflow and typical obstacles: when application glitches or integration issues arise, …  ( 9 min )

We are welcoming you to our weekly digest! Here, we discuss the latest trends and advancements in account abstraction, chain abstraction and everything related, as well as bring some insights from Etherspot’s kitchen. The latest news we'll cover: Ethereum Raises Block Gas Limit to 60M Ahead of Fusaka Upgrade Ethereum Foundation Unveils Full Vision and Mechanics Behind EIL Arbitrum Publishes Unified Guidelines for ARBOS Upgrades on Orbit Chains Soneium and Sony Launch IRC App for On-Chain Fan Identity Please fasten your belts! Ethereum’s block gas limit has been increased from 45 million to 60 million, marking the highest capacity seen in about four years, a significant milestone for Layer-1 scalability just days before the scheduled Fusaka upgrade. The increase was triggered automatically …  ( 10 min )

I decided to stop using Twitter, but for my own content and supporting Ukraine against its barbarian invaders, I understood the contemporary media landscape was quite fragmented. I bet on Mastodon, Bluesky, and LinkedIn. My flow is the following: when I read a piece I find interesting, I schedule it for publication. The problem is that every social media platform has a different scheduler: Mastodon has the Mastodon scheduler, LinkedIn has an in-built feature, and Bluesky has... nothing. I had enough. Hence, I started building an application to schedule posts across multiple social media platforms. Details are irrelevant to this post. Suffice to say, modules are running in a Docker container on my Synology NAS at home. It's a .local name to access when I'm at home. However, I'll soon travel…  ( 8 min )

I'm excited to share Numla, a new open-source project I've been working on. It's a minimal, privacy-focused calculator notepad that lets you solve problems the way you think about them—using natural language. Traditional calculators are great for quick arithmetic, but they lack context. Spreadsheets are powerful but can be overkill for everyday tasks. I wanted something in between: a scratchpad where I could type out my thoughts and have the math happen automatically. Inspired by tools like Numi and Soulver, Numla combines a text editor with a powerful math engine. You can mix text and calculations freely, making it perfect for budgeting, unit conversions, or just quick back-of-the-napkin math. Forget about strict syntax. Just type what you mean: Rent: $1,200 Utilities: $150 Groceries: $400 sum → $1,750 Numla handles over 50 currencies with live exchange rates, plus unit conversions for length, temperature, and more. $500 in EUR → € 460 100 fahrenheit in celsius → 37.78 celsius 5 km to miles → 3.1 miles In an era of cloud-everything, Numla takes a different approach. Your data never leaves your device. Everything is stored locally in your browser using localStorage. There are no servers, no accounts, and absolutely no tracking. Variables: Define constants like $rate = 75 and use them later. Date Math: Calculate deadlines easily (today + 2 weeks). Timezones: Check the time across the globe (time in Tokyo). Spotlight Search: Press Cmd+K to instantly jump between notes. Focus Mode: Hide the UI to focus purely on your numbers. Numla is built with Vanilla JavaScript and Tailwind CSS, ensuring it remains lightweight and fast. It leverages powerful libraries like mathjs for calculation and chrono-node for natural language date parsing. Numla is open source and available on GitHub. I'd love for you to give it a try and let me know what you think! 👉 View on GitHub  ( 7 min )

Learn how to implement a centralized mutation system for multi-tenant SaaS using Next.js Server Actions. Explore RBAC, multi-subdomain handling, cache revalidation, and scalable API patterns for secure, maintainable backend architecture. A. Architecture Overview In large SaaS projects, handling server actions individually in every module creates: 1- Code duplication The centralized mutation engine consolidates all API mutations into one reusable function. It handles authentication, authorization, shop/subdomain context, request payloads, fetch execution, and cache revalidation. B. Core Utilities logger – Structured logging for debugging and monitoring. resolveModelName – Converts route names like saved-attribute → saved_attribute. hasPermission & parseAccessRules – Implements RBAC to check…  ( 9 min )

WTF is this: Deciphering the Mystery of Intelligent Document Processing Ah, documents – the ultimate party crashers of the digital age. They just won't quit, will they? From receipts to invoices, contracts to reports, our lives are filled with an endless stream of paperwork. But, what if I told you there's a way to make sense of it all? Enter Intelligent Document Processing (IDP), the superhero of the tech world that's here to save the day, one document at a time. In simple terms, Intelligent Document Processing is a technology that uses artificial intelligence (AI) and machine learning (ML) to automatically extract, categorize, and process data from various types of documents. Think of it like a super-smart, hyper-efficient clerk who can read, understand, and make sense of even the most c…  ( 12 min )

From the offical blog In the past, creating a website required significant capital and professional coding assistance. Today, with the proliferation of advanced website builders and Content Management Systems (CMS), even someone with zero coding experience can launch a professional site. While professional agencies may charge thousands, a DIY approach can effectively bring your monthly startup cost down to the price of a cup of coffee. Before diving into the steps, you must understand the three non-negotiable elements every site needs: Domain Name: Your address on the internet (e.g., .com). Website Builder/CMS: The software used to build the site (e.g., WordPress, Squarespace). Web Hosting: The digital “land” where your website files are stored (essential for self-hosted platforms like …  ( 14 min )

We previously published an article titled “Unlocking Seamless & Secure Access: Introducing Generalized OIDC Authentication in Apache DolphinScheduler”, which drew significant attention both within and beyond the community. The piece highlighted one of the standout achievements from Google Summer of Code 2025 — Aryan Kumar, a student from the Punjab Engineering College in India, implemented a brand-new universal OpenID Connect (OIDC) authentication mechanism for Apache DolphinScheduler. This new capability not only streamlines the entire user access process for DolphinScheduler but also greatly enhances the system’s security posture, making DolphinScheduler better suited for diverse enterprise-level scenarios. Notably, Aryan’s implementation makes clever use of the Nimbus SDK and takes data…  ( 14 min )

We need to talk about the "Micro-Interruption" and what it actually does to your brain during an intense coding session. You know the specific feeling I am talking about: You are deep in the code mines, mentally holding a complex dependency graph in your head, and you finally implement the fix for a race condition. You hit Cmd+S to save, and then the administrative ritual begins. You have to physically shift your focus from your code editor to your terminal window, breaking your visual focus. You have to press Ctrl+C to send a kill signal to your running server and wait a split second for the socket to close. You press the Up Arrow to recall your run command, and finally, you hit Enter. It seems like a trivial action that takes only a few seconds, but when you perform it hundreds of …  ( 9 min )

Recently, I’ve been running Codex alongside Claude Code and pasting every response into Codex to get a second opinion. It worked great… I experienced FAR fewer bugs, caught bad plans early, and was able to benefit from the strengths of each model. But obviously, copy-pasting every response is slow and tedious. So, I looked for ways to automate it. Tools like just-every/code replace Claude Code entirely, which wasn’t what I wanted. I also experimented with having Claude call the Codex MCP after every response, but ran into a few issues: Codex only sees whatever limited context Claude sends it. Each call starts a new thread, so Codex has no memory of the repo or previous turns (can’t have a multi-turn discussion). Claude becomes blocked until Codex completes the review. Other third-party MCP solutions seemed to have the same problems or were just LLM wrappers with no agentic capabilities. Additionally, none of these tools allowed me to choose to apply or ignore the feedback, so it wouldn’t confuse the agent if unnecessary or incorrect. I wanted a tool that was automatic, persistent, and separate from my main agent. That’s why I built Sage, which runs in a separate terminal and watches your coding agent in real time, automatically cross-checking every response with other models (currently just OpenAI models, Gemini & Grok coming soon). Unlike MCP tools, Sage is a full-fledged coding agent. It reads your codebase, makes tool calls, searches the web, and remembers the entire conversation. Each review is part of the same thread, so it builds context over time. Would love your honest feedback. Feel free to join our Discord to leave feedback and get updates on new projects/features https://discord.com/invite/bsFz2ppgMU Demo: https://www.youtube.com/watch?v=SerQyhBtlwM  ( 7 min )

Why this comparison matters - LangChain vs LangGraph I build practical LLM-powered software and have seen two patterns emerge: straightforward, linear pipelines and stateful, agentic workflows. The question "LangChain vs LangGraph" is not academic. It determines architecture, maintenance, and how the system reasons over time. When I say "LangChain vs LangGraph" I mean comparing two different design philosophies. LangChain is optimized for linear sequences: take input, run one or more LLM calls in order, store or return the result. LangGraph is optimized for graphs: nodes, edges, loops, and persistent state across many steps. I use LangChain when the workflow is essentially A then B then C. LangChain provides a standardized framework that saves developers from hard coding integrations, p…  ( 11 min )

🚀 I signed up for the 5-Day AI Agents Intensive with Google and Kaggle not just to learn—but to build something that matters. As a creative educator and Python developer, I’ve always believed that technical tools should feel intuitive, empathetic, and empowering. That’s how Finaura AI was born—a financial agent designed to help users navigate data with clarity and emotional resonance. 🧩 Building Finaura: From Idea to Agent Google ADK for agent orchestration Gemini 2.5 Flash for fast, context-aware generation Custom Python workflows for encoding, scaling, and regression modeling I architected Finaura to handle real-world financial data, but I didn’t stop at functionality. I wanted the agent to feel like a guide—not just a calculator. So I layered in storytelling: every insight comes with context. 🔧 Debugging the Soul of the Agent I iterated hybrid encoding pipelines until they were robust enough for noisy datasets. I refined regression workflows to balance performance with interpretability. I learned how to teach through errors—turning bugs into lessons for my audience. 🎭 Storytelling Meets Strategy 📚 What I Learned Agents are more than workflows—they’re experiences. Debugging is design. Every error is a chance to improve the user journey. Branding matters. A memorable name, a punchy tagline, and a clear value prop make your agent unforgettable. Community fuels growth. Sharing my build process helped me connect with other creators and learners. 💬 Final Reflection This challenge wasn’t just about building an agent—it was about building belief. Belief that I could blend creativity with computation. Belief that education can be emotional, technical, and transformative. Belief that agents like Finaura can help people feel less lost in their data—and more in control.  ( 7 min )

But while features and interfaces usually get the spotlight, one foundational layer rarely gets talked about: 👉 The programming language behind the application. In healthcare, this choice matters more than in almost any other industry because it affects: compliance & security data safety interoperability (FHIR, HL7, DICOM) long-term scalability performance under clinical load developer productivity integration with legacy systems Let’s break down the programming languages reshaping digital health in 2025—and what developers should consider when building healthcare applications. If you’re building anything involving: clinical ML models pattern recognition classification for medical images patient risk scoring NLP for EMRs workflow automation Python is the go-to. Why Python dominates health…  ( 8 min )

Over the past few weeks I’ve been building a fully-playable 8-bit virtual console from scratch — CPU, instruction set, assembler, sprite system, IDE, the lot. One of the more interesting side quests has been teaching an LLM to generate valid assembly targeting my CPU. You can follow the full build in my YouTube series here. It's called Building a Virtual 8-Bit Console with an AI Assistant and we're up to about part 14 and things are still ongoing. The source code for the project can be found on GitHub here - snapshot at the tag where I added this work. If you’ve ever tried asking a model to generate domain-specific code, you’ll know what happens: it writes things that look right, but your parser throws it back at you in disgust. I wanted something different. I needed this to work. I wanted…  ( 17 min )

In real-time data platforms, real-time data warehouses, data lake ingestion, and distributed data replication, CDC (Change Data Capture) has become a standard capability in building modern data pipelines. Whether you are building a real-time warehouse on StarRocks, Doris, or ClickHouse, writing real-time change events into Iceberg, Paimon, or Hudi, or synchronizing data across databases, CDC is the core foundation. There is one common CDC question that is often overlooked: Why must a MySQL CDC UPDATE event output two records — one BEFORE and one AFTER? Why can’t it output only the final new value? If we only have AFTER, can’t the system still sync correctly? At first glance, it seems possible. But once you dive into consistency, idempotency, replayability, primary key handling, data lake m…  ( 10 min )

Qui n'a jamais entendu cette question dans l'espace ouvert "oui, mais elle fait quelle taille ton unité ?" Et l'autre de répondre : "petite, comme... heu", et là, patatras, pas de point de comparaison. Pourtant, l'autre utilise JUnit, ou PHPUnit, ou un autre. Oui, JUnit, le cadriciel créé par Kent Beck et Erich Gamma (du GoF), LE Kent Beck du Test-Driven Development, le fameux TDA, pardon, TDD. Ne nous emportons pas, l'autre est peut-être adepte du Behavior-Driven Development, la fameuse méthodologie où ce sont les analystes métiers qui rédigent directement les cas de tests, grâce aux harnais fournis par les développeurs, et pas un dévoiement de la méthodologie où le développeur code dans un langage de concombres (même pas masqués) ? Ou simplement en écrivant des noms de méthodes de 500 ca…  ( 11 min )

Let's be real for a second. Nobody wakes up in the morning excited to write PDF generation code. It usually starts as a quick task. Your project manager drops by and says, "Hey, can we just add an 'Export to PDF' button for these invoices?" You nod. It sounds like a two-hour job. Three days later, you're still sitting there at 2 AM, trying to figure out why your table rows are splitting in half across pages or why the custom font works on your local machine but turns into garbage on the server. I've been down this rabbit hole too many times. So, instead of grabbing the first library I found on Google, I decided to actually sit down and test the three big players in the .NET space to see which one respects my time the most. Here is the breakdown of iText 7, QuestPDF, and IronPDF. The bigges…  ( 9 min )

🚀 Developing Invoice Shield: Creating an AI Workflow from a Boring Finance Task 🛡️ The Real Function of Invoice Shield 1) A little multi-agent system called Invoice Shield mimics a financial team: 🧠 Reasons for Selecting Agents Instead of One Big Model 🔍 The Most Interesting Part: 💡 What I Learned Building This • A good AI system is frequently made up of several simple components working together rather than the smartest model. ✨ The Result: 🚀 What Comes Next 🧪 Why this matters 🔗 Code https://github.com/MilindGarge07/InvoiceShield  ( 8 min )

✍️ Final Article Draft: English Translation Introduction: Stepping into the World of AI Agents When I first embarked on the AI Agents Intensive program, I realized that Agents were not just theoretical concepts but powerful frameworks capable of solving real-world problems. For our Capstone Project, we chose to build a Smart Content Generator Agent. Its primary objective was to reduce the time spent on creating compelling advertising copy for social media. This article will detail the challenges I faced in designing our Agent—such as structuring the prompt and dealing with performance issues—and the profound lessons I learned in guiding an Agent to produce accurate and high-quality content. Agent Architecture and Tools Our Agent's architecture is straightforward yet highly focused on the g…  ( 7 min )

I spent 6 months building a white label travel portal. Integrated 50+ APIs for flights, hotels, and buses. Here's what actually happened. 1. Every Travel API is Different (And Annoying) The Problem: 2. Speed Makes or Breaks You Day 1: Calling 15 APIs one by one = 12 seconds Lesson: In travel booking, anything over 2 seconds kills conversions. Cache everything aggressively. 3. APIs Will Fail at the Worst Times 3-4 backup providers for every service Lesson: Build for failure, not success. Always have backup providers. 4. India-Specific Challenges Nobody Mentions Different success rates for different banks GST Complexity: Domestic flights: 5% GST IRCTC (Train Booking): 5. The Real Costs (What I Didn't Expect) Development: ₹15 lakhs What I Actually Spent: Development: ₹28 lakhs (nearly 2x) The Hidden Killers: ₹2-5 per API search call (adds up fast with volume) Honest ROI: Total investment: ₹45 lakhs Lesson: Travel margins are thin. You make money on volume, not per-transaction. Key Strategies: Started with 5 reliable APIs, added more gradually Should You Build One? You have ₹30-50 lakhs to invest Don't build it if: Expecting quick returns Final Thoughts Questions? Drop them in the comments. Happy to share more specific details about any aspect. Tags: #webdev #startup #india #api #travel #entrepreneurship  ( 8 min )

December 4th, 2025 — A day the frontend ecosystem won’t forget. If Log4Shell was Java’s nightmare in 2021, then today’s disclosure of CVE‑2025‑55182 (Next.js counterpart CVE‑2025‑66478) marks the darkest hour of the modern React/Next.js full‑stack era. A CVSS score of 10.0, unauthenticated RCE, and impact across React 19, Next.js 15/16, and any framework implementing React Server Components (RSC). If you're reading this before coffee: drop everything and check your versions. React’s core team has officially confirmed a critical remote code execution vulnerability inside the implementation of React Server Components — and it’s as bad as it sounds. To understand the issue, we need to understand how RSC moves data. React Server Components rely on a streaming, JSON‑like protocol called Flight…  ( 8 min )

TinyNN: A Fast, Zero-Dependency Neural Network Library for Node.js A lightweight neural network library optimized for CPU performance. No dependencies, pure JavaScript. Trains MNIST to 91% accuracy in under a minute. Built for developers learning AI who want to understand the underlying mechanics without the overhead of heavy frameworks. TinyNN is a feedforward neural network implementation in ~500 lines of code. It uses typed arrays (Float64Array) and optimized loops for performance. Zero dependencies - No external packages required CPU optimized - Typed arrays and cache-friendly loops Small footprint - 8.4 KB compressed Educational - Clean, commented code you can actually read import tinynn from 'tinynn'; import { relu } from 'tinynn/utils'; // Create network: 784 inputs, two hidden l…  ( 7 min )

I am P. Perumal Moorthy, a participant of the 5-Day AI Agents Intensive Course on Kaggle. My Learning Experience During this intensive, I learned: What AI agents are and how they function Prompting strategies and tool usage Action → Observation → Thought workflow Handling multi-step reasoning tasks Building and deploying autonomous agents Capstone Project Experience In my capstone project, I created an AI agent that: Accepts user instructions Uses tools to solve tasks autonomously Handles errors and continues execution This project enhanced my understanding of practical AI automation and reinforced my problem-solving skills. Challenges & Growth Initially, structuring prompts and debugging agent actions was challenging, but the step-by-step guidance helped me overcome these difficulties. Key Takeaways Well-structured prompts greatly influence agent performance Combining tools with reasoning creates effective automation Testing and iteration are essential Appreciation Thank you to the Kaggle Team, instructors, and community for this incredible learning journey. I am proud to be part of this intensive and excited to continue learning AI, ML, and Data Science on Kaggle.  ( 6 min )

BrowserStack earned its reputation through reliable cross-browser testing infrastructure, but many teams discover its reporting capabilities don't match modern analytics needs. When Playwright reporting depth matters and costs climb with scale, exploring BrowserStack alternatives becomes essential. The BrowserStack Reporting Reality BrowserStack handles test execution across browsers and devices exceptionally well. Infrastructure is reliable, setup is straightforward, and coverage is extensive. These strengths make it popular for functional and visual testing. However, reporting remains execution-centric rather than analysis-focused. Basic trends and error grouping serve immediate needs, but teams seeking granular analytics, flaky pattern detection, or AI-assisted debugging consistently fi…  ( 9 min )

Gartner predicts that by 2025, 70% of new applications will use low-code or no-code technologies. This shift isn't just a trend; it's a survival strategy for startups facing tight budgets and developer shortages. Low-code platforms now allow founders to build enterprise-grade apps 10x faster than traditional coding. This guide explores how low-code platforms are transforming startup app development and helps you choose the right tool for your growth. The global low-code market is projected to reach nearly $50 billion by 2025. Startups drive much of this growth because they need to move fast. Traditional development cycles of 6-9 months are too slow when competitors launch in weeks. Low-code bridges the technical skills gap. With developer salaries rising, early-stage companies often cannot…  ( 10 min )

Hey dev community! 👋 I'm excited to share fullcircle™ - a dating app I've been building for people who practice meditation, yoga, energy healing, and embrace mindful living. Think of it as the anti-swipe app for conscious souls seeking genuine connections. Unlike mainstream dating apps that are just about matching, fullcircle combines dating with community and self-growth. This is what sets it apart. The Sanctuary is a dedicated space for: Spiritual Events: Meditation circles, sound baths, breathwork sessions Community Gatherings: Yoga circles, healing workshops, conscious community meetups Retreats: Weekend getaways and extended spiritual retreats Growth Practices: Group meditation, energy healing sessions It's not just about finding a partner - it's about connecting with a community t…  ( 7 min )

Participating in the 5-Day AI Agents Intensive was a transformative experience for me. Before joining, I had only a basic understanding of how AI systems work. But through the intensive, I learned how modern AI agents are designed, how they interact with tools, and how they solve real-world tasks in an autonomous way. One of the biggest takeaways for me was understanding how agents plan, reason, and take actions instead of just answering questions. Concepts like tool use, chaining tasks, prompt design, and structured reasoning helped me clearly see how powerful AI can be when combined with the right workflows. The practical exercises made everything feel real and approachable. I especially enjoyed working with Kaggle’s notebook environment, experimenting with prompts, and seeing how small prompt changes influenced an agent’s performance. It was exciting to watch an AI system break down a complex problem into steps and generate meaningful outputs. Another important learning was the importance of evaluation, safety, and reliability. I understood that building an agent is not just about making it “work,” but making it predictable, responsible, and aligned with user goals. This gave me a more professional perspective on AI development. 5.Overall, this intensive boosted my confidence and motivation to learn further. I now feel comfortable exploring advanced topics like workflow automation, model fine-tuning, and end-to-end agent design. I’m grateful to the Kaggle community and instructors for creating such an interactive learning experience. 6.This journey inspired me to continue building my skills, contribute to real-world AI projects, and keep learning through Kaggle courses. Thank you for this opportunity!  ( 6 min )

Building apps used to take weeks of coding and multiple tools. Now, platforms like Base44 are changing that with a simple idea: describe your app, and let AI build it. Base44 is an AI-powered app builder that turns natural language into fully functional web applications. It's designed for speed, simplicity, and flexibility. Whether you're launching your first product or testing a business idea, Base44 helps you get there faster without writing a single line of code. In this guide, you’ll learn what Base44 is, how it works, and what makes it different from other AI development tools. We’ll walk through its core features, key benefits, and real-world use cases. You’ll also discover its limitations and explore strong alternatives if you need more control or customization. By the end, you’ll k…  ( 11 min )

Ketika G. H. Hardy (Godfrey Harold Hardy) dengan bangga menyatakan bahwa karyanya dalam matematika murni tidak akan pernah berguna dalam praktik, ia ternyata keliru besar. Lebih dari 50 tahun setelah kematiannya, sistem yang mengamankan pesan WhatsApp Anda, melindungi transaksi perbankan online, dan menjaga komunikasi digital global semuanya bergantung pada ide-ide matematika yang pernah ia kembangkan. Ironisnya, matematika yang dulu ia sebut sebagai “indah tapi tak berguna” justru menjadi tulang punggung kriptografi modern. Artikel ini membahas jembatan tak terduga antara teori bilangan awal abad ke-20 karya Hardy dan skema enkripsi yang mengamankan dunia digital kita saat ini. Hardy adalah penganut kuat matematika murni ilmu yang dikejar demi keindahannya, bukan aplikasinya. Ia bekerja …  ( 7 min )

why java use oops concept ? OOPS CONCEPT IN JAVA -> Class -> Object -> Inheritance -> Polymorphism -> Encapsulation -> Abstraction  ( 6 min )

In today’s competitive business environment, visibility and credibility are key to success. Level Up Chicago has emerged as one of the top chicago public relations firms, helping brands craft compelling stories, engage audiences, and build lasting reputations. From startups to established businesses, Level Up Chicago offers strategic media outreach, social media management, and digital communication solutions that drive real results. Partnering with experienced chicago public relations firms ensures your brand stands out in a crowded market and connects meaningfully with your audience. With a focus on creativity, strategy, and measurable impact, Level Up Chicago is the go-to partner for businesses looking to elevate their brand presence in Chicago and beyond.  ( 6 min )

Images account for 50-70% of a typical web page's total size. Serving optimized images based on device capabilities and screen density is crucial for performance, user experience, and SEO. In this comprehensive guide, we'll explore device pixel ratio (DPR) optimization and responsive image techniques using React and Next.js. Device Pixel Ratio represents the relationship between physical pixels and CSS pixels. Modern devices have varying DPRs: Standard displays: DPR 1 (1920x1080 monitors) Retina/HD displays: DPR 2 (MacBook Pro, iPhone) Ultra HD displays: DPR 3+ (iPhone 15 Pro, Samsung Galaxy) Serving a 1x image to a 3x device results in blurry visuals, while serving a 3x image to a 1x device wastes bandwidth. // Get current device pixel ratio const dpr = window.devicePixelRatio || 1; // L…  ( 8 min )

This is a submission for the AI Challenge for Cross-Platform Apps — WOW Factor. I built a cross-platform app called Smart Café, a coffee-shop themed application that mimics the experience of entering a premium café menu on your device. The goal was to create a UI that feels warm, modern and immersive — an app where the user enjoys looking around even before clicking anything. The entire app runs from a single Uno Platform .NET codebase and maintains the same visual quality, animations and responsiveness across multiple platforms. 🔗 GitHub Repository: 📱 Screenshots / Video: Android screenshot Windows screenshot WebAssembly screenshot (upload screenshots directly into DEV below this section — judges love visual proof!) The app runs on: Android Windows WebAssembly (Browser) I wrote…  ( 7 min )

The success of the logistic regression gave me a confidence boost, but the program's performance felt like a punch to the gut. The naive matrix multiplication module was taking forever to complete even on a small dataset like (321 * 6). No programmer enjoys staring at the console for the program to finish its execution. I have a CUDA-enabled GPU sitting in my machine gathering dust. I had avoided configuring it for development for two years out of sheer laziness. But, to scale up I had to conquer my laziness. I had to make my GPU perform the heavy math. I spent some time searching alternatives. Many search results pointed to ndarray, a high-performance rust library to work with multi-dimensional arrays. It's a great library, but using it out of the box felt like cheating, like another blac…  ( 10 min )

Introduction In the part 8 of this article series, we learned how to develop a pure Quarkus REST application and deploy it on AWS Lambda. We also measure the performance (cold and warm start time times) of Lambda function. In this article series, we'll convert this sample application from part 8 into the GraalVM Native image and deploy it as AWS Lambda Custom Runtime and measure its performance. In the part 5 of this article, series we've already described the steps to convert the Quarkus 3 application into GraalVM Native Image. We need to perform the similar steps to convert our Qurakus REST application on AWS Lambda into the GraalVM Native (25) Image and deploy it as AWS Lambda Custom Runtime and measure its performance. The final application is published in the quarkus-3.26-as-graal…  ( 10 min )

For my cybersecurity masters work, I wanted to go deeper than running tools and reading packet captures. I wanted to understand what was happening inside the packets themselves. Instead of calling Scapy or hiding behind Python abstractions, I decided to build my own packet manipulation library from scratch in Nim. That became NimPacket, and it turned out to be one of the most useful and eye opening projects I have done. NimPacket gives full control of IPv4, TCP, UDP, and ICMP headers. Everything is exposed at the byte level. You can set fields, flip flags, stack layers, serialize to raw bytes, and then parse real traffic back into readable structures. Working at this depth made me understand not just how protocols work but how they fail and how attackers take advantage of them. I included real examples so the library is not just a research exercise. There is a working SYN port scanner, a raw packet sniffer, and an ICMP echo builder. These examples helped validate the code and also give anyone reading the repository a clear idea of how to apply the library in actual security work. It runs smoothly on Kali and makes it easy to build custom packet tools without relying on heavy frameworks. The project taught me a lot about checksum algorithms, endian handling, field packing, and protocol specifications. It also showed me why low level networking is still important for people in cybersecurity. You cannot fully understand network attacks unless you know what each byte represents and why it is there. If you want to see the code or try it out, the repository is here: https://github.com/0x57Origin/NimPacket I am always open to feedback from people who have more experience in systems programming or raw socket work, so feel free to check it out and let me know what you think.  ( 7 min )

Submission for the AI Agents Intensive Course Writing Challenge Introduction I'll be honest—before taking the 5-Day AI Agents Intensive Course with Google and Kaggle, I thought I understood agents. Spoiler: I didn't. My mental model was basically wrapping an LLM in a while(true) loop, adding a few if-statements, and calling it "agentic." Embarrassing in hindsight, but we all start somewhere, right? The past five days have completely rewired that thinking. I've gone from building simple, reactive bots to trying to architect "deliberative" systems that actually plan (and sometimes overthink) their next move. Key Learnings & Insights Reactive vs. Deliberative: The Wake-Up Call Honestly? The distinction between Reactive and Deliberative agents hit me like a truck. I'd been building 'agents' fo…  ( 8 min )

I have attempted to learn Rust several times in the past. The journey always looked the same: start learning an area of development, implement a few things, understand the concept; and then leave it after some time. This happened more than once, so I decided to try a different approach this time. I was also curious about how AI works. I don't quite like the "magic" of black boxes and machine learning felt like one to me. So, I set out on a new journey: to merge both of my areas of learning in one project. I decided to write a Rust-based ML library. It went well. I spent about a month to get to the point where it can do simple linear regression. But then, due to other priorities, the project went on the back burner, collecting dust. After about 18 months, I found some free time to pursue th…  ( 10 min )

This article is a machine translation of the contents of the following URL, which I wrote in Japanese: https://qiita.com/Nana_777/items/d71dacb97e1e99375b36 This is the fifth post in the Japan AWS Top Engineers Advent Calendar 2025. Today, I'd like to introduce Kiro, a character who frequently appears in my Advent Calendar-related posts. I've written about Kiro in several past articles, so I'll quote those articles and provide an overall overview of Kiro. ↓ Japan AWS Top Engineers Advent Calendar 2025 is here https://qiita.com/advent-calendar/2025/aws-top-engineers ↓ My previous article on Kiro https://dev.to/aws-builders/aws-we-tried-out-the-popular-kiro-features-including-applying-rule-files-and-implementing-from-54di ↓ Some of the images in this article are slides I used at JAWS-UG Morn…  ( 11 min )

Developers and automation engineers know one constant truth: Data Extraction Accuracy Improves from ~70% → 95%+ AI Validation Rules Catch Errors Earlier Predictive Logic Reduces Decision Errors Feedback Loops Improve Accuracy Continuously Hybrid Automation = Maximum Reliability  ( 6 min )

We've all been there. You open a Pull Request, and it's 50 files deep. You spend the next hour commenting on indentation, variable naming, and missing docstrings. By the time you're done, you're exhausted. And that's exactly when the real bugs slip through. I'm talking about the silent performance killers. The O(n) operation inside a loop. The unconstrained file extraction that becomes a Zip Bomb. The full database reload triggered by a single user action. These aren't style issues. They are architectural bottlenecks and security vulnerabilities that linter rules can't catch. I realized that my team was spending 90% of our review time on things that didn't matter, and missing the 10% that actually killed production. We needed a way to automate the deep inspection—not just "is this line too…  ( 7 min )

Just a week ago, Google launched Antigravity, and why not give it a try and share my experience? And here I am for this. In this article, I'll talk about my first experience with Antigravity and how I built a small web app called The Mood Mirror. This app emulates an artist who can convert your mood into abstract images or videos. Spoiler: this app uses Gemini 3, Nano Banana Pro and Veo, but I'll talk about them in a future article. Let's start with a small presentation about Antigravity. Google Antigravity is an Agentic IDE. It is a fork of VSCode with a dedicated agent section that features models such as Gemini, Claude, and GPT. This last part is what makes Antigravity different from VSCode or Cursor; this section is built and maintained by Google. Yes, the experiences are common, but h…  ( 10 min )

it’s a context → space → navigation language. So the ordering rule is: Think of ME as a contextual algebra: State: short-term memory (STM), indexes, encryptedBranches, localSecrets/localNoises, runtime frames Context: the current “frame” (identity focus, effectiveSecret, current pointer target, etc.) Navigation: path composition under the current context. You can group operators by what kind of context they construct: Identity/context focus operators Secret / privacy frame operators Noise / re-root operators Pointer / alias frame operators Derivation operators Query/collection operators tombstones/removes a value under the current context @ creates an identity-focus Thought and updates the active identity frame. _ creates/loads a secret frame and makes selected roots stealth. **~ **changes effectiveSecret lineage. __ binds pointer frame and makes __ptr.* derivations meaningful. Axioms should be structure + frame invariants, not app-policy validation.  ( 7 min )

XXE Injection remains one of the most dangerous, yet misunderstood, flaws. If your application processes XML (including SVG or SOAP), it is likely vulnerable to catastrophic attacks. I published a technical breakdown showing exactly how attackers: Read arbitrary system files (e.g., /etc/passwd). Execute Server-Side Request Forgery (SSRF) against internal networks, including cloud metadata services (169.254.169.254). Perform Blind XXE via out-of-band data exfiltration. The article includes code snippets for disabling external entity processing across Java, PHP, and .NET. ➡️ Read the full technical analysis here: https://revbrightintl.blogspot.com/2025/12/xml-external-entity-xxe-injection.html  ( 6 min )

You spent October and November perfecting your holiday campaigns. The sales came through. Your December revenue looked beautiful. Then January hits, and those same customers who couldn't wait to buy from you suddenly act like you never met. Sound familiar? Here's what actually happens: Most brands treat post-holiday email strategy like they're still in November. Another 20% off email. Another "New Year, New You" subject line. Another reason for customers to hit unsubscribe because they're drowning in promotional fatigue after six weeks of URGENT LAST CHANCE FINAL SALE messages. The data tells an interesting story. According to recent e-commerce research, about 68% of holiday shoppers are first-time buyers. But only 22% of those buyers make a second purchase within six months. That gap? Tha…  ( 13 min )

From Prompts to Pipelines: What I Learned About Building Real AI Agents When I joined the AI Agents Intensive, I thought “agents” were nothing but just smart chatbots. And by the end, I was building ProdigyFlow — a full multi-agent pipeline that loads raw data, cleans it, analyzes it, creates charts, and finally produces an automated report. This course completely changed how I think about AI. The biggest shift for me was understanding that agents are not one big model — they’re a team. Each agent has a job, its own tools, and a clear role in the pipeline. a Cleaning Agent to fix messy data an Analysis Agent to derive insights a Visualization Agent to generate graphs and a Main File to make them work together smoothly Seeing these parts collaborate felt like building a small company inside Python. There were a lot of behind-the-scenes struggles too: API keys broke so many times we memorized our .env file 😭 GitHub workflows failed at 2 AM for reasons we did not understand We learned how important logs, error handling, and reproducible runs really are Python libraries (Pandas, Matplotlib, tqdm) became our superpowers But every challenge made the final system more real. This project also became a true team win. My teammate Priyamvadha and I figured things out together — fixing bugs, testing agents, and redesigning the pipeline more than once. Here are the project links if you want to explore: https://github.com/komalharshita/prodigyflow https://www.kaggle.com/competitions/agents-intensive-capstone-project/writeups/ProdigyFlow https://www.linkedin.com/in/komalharshita/ Huge thanks to Google, Kaggle, and the mentors for creating this opportunity. I started this course writing simple prompts, and finished by building an end-to-end intelligent pipeline.  ( 7 min )

This is a submission for the Google AI Agents Writing Challenge: Learning Reflections The AI Agents Intensive has been one of the most meaningful learning experiences of my year. When I first joined, I wasn’t sure I could grasp concepts like agents, tools, memory, or even navigate Kaggle effectively. But this journey completely changed my mindset and revealed a version of myself that is more capable, curious, and confident. The most fascinating part of the intensive was working with Kaggle Notebooks. For the first time, I got hands-on experience running code, experimenting with agents, and seeing everything come alive in real time. I also learned how AI uses memory to better understand users — a concept that made me appreciate the intelligence behind conversational systems. Witnessing how …  ( 7 min )

Before we can start creating resources in Microsoft Azure, one of the first concepts to understand is Azure Resource Manager (ARM). ARM is the backbone of how resources in Azure are deployed, managed, and organized. Let's talk about it. Azure Resource Manager is an orchestrator and management layer that sits between users and resource providers, enabling users to create, update, and delete resources in their Azure accounts. Resource providers are services, such as storage or compute, that supply Azure resources. Think of ARM like a remote control for a smart home. Just as a remote allows you to manage various functions like lighting, temperature, and security from one device, ARM acts as the control center, ensuring that all your resources, such as Virtual Machines (VMs), Storage Accoun…  ( 8 min )

Runtime memory handling is a crucial part of writing software, which heavily impacts the performance of your program. I think for every language there comes this layer of responsibility, but how it is delegated between the developer and the language is different. In the case of using C/C++ - memory allocation is totally under the control of the developer. Whereas in languages like JavaScript, Python, Go, Java, where memory is managed - developers rarely need to worry about where an array is stored in memory, it's the duty of the language's runtime system to decide when to deallocate data that is no longer used. And this is where garbage collection comes into play. C# (.NET platform) is known for its heavy GC (garbage collection) of dynamic (heap-allocated) resources. The process is straigh…  ( 18 min )

YouTube Shorts can blow up fast but only if you understand how your audience behaves. One of my recent Shorts crossed 25K+ views within just 2 days, and it's still trending today. Here’s the Short if you want to check it: https://youtube.com/shorts/SHmcBMhZ0p0 The secret behind that growth wasn’t luck. analytics especially metrics like: Stayed to watch (Retention %) Average view duration Hook performance (first 3 seconds) Replays & Loop factor In this guide, I’ll break down everything I learned so you can repeat the same results. My video analytics showed something like: Stayed to watch: 66.2% Average view duration: 0:20 seconds This tells you two BIG things: Anything above 50% retention is excellent for Shorts. A 20s average duration often means people are skipping early so improving you…  ( 7 min )

Model Context Protocol explained through practical Q&A The Problem MCP Solves Building Your First MCP Server The Client Side The Two-Terminal Misconception The Three Components Client vs Host - The Key Difference Why Three Components? Testing Your MCP Server Real-World Example: GitHub MCP Server Common Patterns Debugging Tips Architecture Deep Dive Quick Start Summary Explore More MCP Servers Rahul (Developer): Man, I keep hearing about MCP everywhere. What problem does it actually solve? Amit (Expert): Good question! Let me give you a real-world scenario. Before MCP, if you wanted Claude Desktop to access your GitHub repos, AWS resources, and company database, you'd need: Claude team to build custom GitHub integration Claude team to build custom AWS integration Claude team to build custo…  ( 14 min )

This is Day 4 of Building SaaS Solo - Design, Implementation, and Operation Advent Calendar 2025. Yesterday I wrote about "Starting Indie Development with Next.js + Supabase." Today I'll share my documentation strategy for indie development. Note: What I'm sharing here is my current approach after much trial and error. I've had plenty of failures, and I'll share those too. I spent many years at a SIer doing waterfall development. The flow of requirements → basic design → detailed design → implementation → testing is ingrained in me. When I started building Memoreru as an indie project, I initially took a waterfall approach, but gradually evolved into a hybrid style incorporating agile elements. After much trial and error, Memoreru's documentation has the following structure. This may conti…  ( 9 min )

Bias vs Variance in Production ML — Deep Technical Guide for Real-World Systems How top ML teams diagnose degradation when labels are delayed, missing, or biased. One of the most insightful questions I received on my previous article was: “How do you practically estimate and track bias vs variance over time in a live production ML system?” This sounds simple, but it’s one of the hardest unanswered problems in ML engineering. Because in production: Labels arrive late (hours → days → weeks) Many predictions never receive labels Datasets are streaming, not static Concept drift changes what “correct” even means External world shifts faster than retraining cycles Traditional bias–variance decomposition becomes useless This article is the deepest, most technically complete breakdown of…  ( 10 min )

Beyond Backpropagation: Hyperdimensional Computing for Lightning-Fast Graph Analysis Imagine analyzing massive social networks or predicting molecular properties in real-time. The problem? Traditional graph neural networks (GNNs), while powerful, often choke on the sheer scale of these tasks, demanding immense computational resources. Here's the breakthrough: a novel approach leveraging hyperdimensional computing (HDC) for graph classification. Instead of backpropagation and gradient descent, we use high-dimensional vectors to represent graph structures and node attributes. These vectors are then manipulated using simple algebraic operations, essentially encoding graph relationships within the vector space. Think of it like this: each node is a unique musical note, and the relationships …  ( 7 min )

I Built an AI Memory System Because I Got Tired of Repeating Myself AI has no memory. Every conversation starts from zero. And I was sick of it. I'm a production manager in live entertainment - concerts, theater, events. I work with hundreds of crew members, complex schedules, and zero margin Every. Single. Session. Started. Over. "I prefer snake_case for variables." I'd type these preferences daily. Sometimes hourly. My context window was filling up with repetitive information, my costs were climbing, and the AI learning from our work together. So I built Claudarity - a memory system that tracks what works, what doesn't, and automatically provides context when needed. ## The Problem: AI Goldfish Syndrome Current AI assistants are like having a brilliant colleague with amnesia: No memory b…  ( 10 min )

Introduction to Agents This part helped me understand what an AI agent actually is. Earlier, I only thought of an agent as something that “answers questions,” but through the intensive, I learned that an agent is a whole system that observes, plans, reasons, and takes actions. I learned how agents break down problems, how their workflows are structured, and how different components work together. This foundation completely changed the way I think about AI systems. Agent Tools & Interoperability with Model Context Protocol (MCP) This was one of the most eye-opening sections for me. I learned how agents use external tools instead of relying only on model outputs. Understanding MCP taught me how tools, models, and memory can communicate cleanly through a shared protocol. Context Engineering: …  ( 10 min )

I recently completed the 5-Day AI Agents Intensive, and surprisingly, this short program taught me more about AI agents than I expected. It was fast, hands-on, and filled with small “aha” moments that made the whole experience genuinely worth it. *Why I Joined *What I Learned (In Simple Words) Each day clarified one important concept: Capstone Project Experience The capstone project felt a bit challenging at first because it required building a complete workflow—from planning to execution. But once the agent started following each step properly, everything clicked. This project taught me that solid planning, proper tool usage, and debugging are the real skills behind building agents. What I Liked the Most The steps were simple and clear Examples were practical Watching the agent run in real time was fun The Kaggle community was supportive And for a 5-day program, it covered a surprising amount Overall, the experience felt smooth and genuinely enjoyable. *How This Course Helped Me A short program, but with a strong learning impact. *What I Plan To Do Next Try automating real-world workflow Overall, this intensive was short but extremely impactful and excellent. If someone wants to understand AI agents from the ground up, this program is a perfect starting point For me, it was a simple, clear, and genuinely useful learning experience  ( 7 min )

What if the relentless grind and exhausting struggle aren't the only paths to success? For years, I championed the "self-made man" ethos, believing that achievement was born solely from pain and overcoming. But I discovered a more elegant, powerful way: the path of Allowance. This isn't about cheats or hacks; it's about understanding the fundamental mechanics of reality. It’s a shift from forcing outcomes to allowing them, transforming life from a battle for survival into a captivating game you are designed to win. This is the most important career—and life—lesson I've ever learned. Introduction: A Departure from the Known This is not my typical article. For the first time, I'm stepping away from my own rules to publish something that has no direct link to cybersecurity. Yet, in my view…  ( 12 min )

Introduction The next billion mobile users aren't getting smartphones, they're getting $20 flip phones running KaiOS. While the tech world obsesses over the latest iPhone, over 200 million people worldwide rely on feature phones with limited capabilities but essential connectivity. My challenge: Build BlueKai, a fully-featured BlueSky client for devices with 256MB RAM, Gecko 48 (Firefox from 2017), and D-pad navigation. No touch screen. No modern JavaScript APIs. Just the basics, and the determination to bring decentralized social networking to users in remote areas with limited data plans. This is the story of how I used Kiro, an AI-powered IDE, and a spec-driven development approach to ship a production-ready app in days instead of weeks. KaiOS sits in a unique position in the mobile …  ( 11 min )

The landscape of business automation has just shifted beneath our feet. For years, the debate has been between user-friendly tools like Zapier and powerful, developer-centric platforms like n8n. But the release of Google Workspace Studio has introduced a third, massive variable: hyper-intelligent, AI-native automation that is already included in the software suite used by 3 billion people. As an automation strategist who has built hundreds of workflows, I’ve been analyzing this shift. This isn't just about features; it’s about the fundamental difference between "connecting apps" and "deploying agents." If your organization is paying $20 to $50 per user for n8n Cloud, or spending valuable engineering hours maintaining self-hosted instances, you need to pay attention. If you're short on time…  ( 8 min )

Ever spent hours setting up a new Mac for development? Installing Homebrew packages, configuring dotfiles, tweaking system settings, arranging your Dock... it's tedious and error-prone. What if you could automate everything with a simple Ruby DSL that reads like plain English? Meet Hola – a blazing-fast development environment manager that combines the best of Homebrew, mise, and dotfiles management into one cohesive tool. I've been a long-time Chef user because typing endless brew install or apt install commands drives me crazy. Chef's Ruby DSL is perfect – it's readable and expressive. But Chef comes with heavy dependencies, especially on macOS where it installs unnecessary components and even creates system users. Other configuration management tools? Ansible and Salt force you to write…  ( 9 min )

The bubble tea shop always feels a little magical when I walk in for my shift. Even before the lights come up or the blenders start humming, there’s this sweet smell in the air. It’s a mix of brown sugar syrup, fresh tea, and whatever fruity flavor someone wrapped up the night before. It reminds me of the first warm day after winter, when everything feels soft and new. I slip behind the counter, tie my apron, and take a quick look around at the toppings bar standing like a colorful parade. Pearls, jellies, puddings, popping bursts, the works. Even when I’m tired, that little lineup wakes me up. Opening duties are simple. Shake the containers a bit so everything looks fresh, refill the pearls if they look low, check the ice, and make sure all the teas are brewed and cooled just right. I alw…  ( 11 min )

How the same patterns that saved backend APIs can transform your CLI architecture 💡 TL;DR - The Safe Migration Strategy: Extract commands to external plugins (publish as beta) Add plugins as dependencies in your core (v2.x - zero breaking changes) Gather feedback, iterate, stabilize Remove dependencies in v3.0.0 (breaking change, but prepared) Users install only what they need Result: Safe migration + independent plugin evolution Remember when your CLI was just a little tool with 3 commands? Yeah, me too. Then product asked for "just one more feature"... and another... and another. Now you're maintaining a 50-command behemoth where changing one line breaks three unrelated commands. Welcome to the CLI monolith trap. Here's the thing: CLIs go through the exact same evolution as b…  ( 12 min )

In the era of mobile applications, competition has shifted from feature wars to performance wars. Whether it's gaming apps, social applications, or financial tools, performance smoothness and resource consumption directly determine user retention. For iOS developers, finding a suitable performance monitoring tool often means debugging and optimization efficiency can be improved several times. This article is based on the latest iOS 26 system and selects six widely used performance monitoring tools in the developer community for in-depth evaluation: Xcode Instruments, Firebase Performance, New Relic, KeyMob, TestFlight Metrics, PerfDog. Through comparisons in dimensions such as functionality, accuracy, ease of use, and platform support, it helps developers choose the performance monitoring …  ( 9 min )

This is a submission for the Google AI Agents Writing Challenge: [Learning Reflections OR Capstone Showcase] Over the past week, I completed the Kaggle × Google 5-Day Intensive Program — a fast-paced, hands-on sprint that helped me dive into Python for Data Science, Machine Learning basics, and Kaggle-style workflows. Below, I’m sharing the full structure of the course, how I experienced each day, what I built, and the skills I gained. If you’re starting out in ML or thinking of trying Kaggle, this might help you decide if this path is for you. 📅 Course Structure & My Daily Experience Day 1 — Getting Started: Python Basics + Kaggle Environment ✔️ Introduction to the Kaggle environment: Notebooks, datasets, competitions. ✔️ Brushed up on Python essentials — lists, dictionaries, loops, cond…  ( 7 min )

My 5-Day Journey with the Kaggle AI Agents Intensive – What I Learned & Built I recently participated in the 5-Day AI Agents Intensive by Kaggle. This challenge taught me how to understand, build, and deploy AI agents in a simple and practical way. In this post, I am sharing my learning experience and the project I built for the Capstone Challenge. ⭐ Why I Joined the Intensive I joined because I wanted to learn how modern AI systems work—especially agents that can: take actions, understand instructions, interact with tools, and solve real problems. Before starting, I had very little knowledge. But the course made everything easy. ⭐ What I Learned Each Day 📌 Day 1 – Understanding Agents I learned what an AI Agent is, how it works, and why agents are important in real-world apps. 📌 Day 2 – Tool Use I learned how agents can use external tools like: search, code execution, data processing. 📌 Day 3 – Planning I understood how agents break tasks into smaller steps before solving them. 📌 Day 4 – Multi-Agent Systems I learned that multiple agents can work together—each with different skills. 📌 Day 5 – Deployment I deployed my own agent using Kaggle Notebooks and made it publicly viewable. ⭐ My Project: AI Fashion Outfit Recommendation Agent For the final day, I created an agent that recommends outfits based on: user preferences, color choices, style, occasion. The agent analyzes user input and suggests a matching outfit that looks stylish and simple. ⭐ What I Gained from the Intensive Clear understanding of AI agents Ability to build a working agent Knowledge of planning, tool-use, and multi-agent design A complete project to showcase More confidence to explore AI career paths ⭐ Final Thoughts This 5-Day AI Agents Intensive was one of the best short courses I’ve completed. It was simple, beginner-friendly, and focused on hands-on learning. I recommend it to anyone who wants to start learning AI in a practical way. Thank you Kaggle & Google DeepMind for this opportunity!  ( 7 min )

Displaying tabular data on the web can often be a challenge. While Excel spreadsheets are incredibly powerful for data organization and analysis, their native .xlsx or .xls formats are not directly renderable by web browsers. This often leaves developers searching for efficient ways to bridge the gap between rich Excel data and web-friendly formats. The solution? Converting Excel to HTML using C#. This article will guide you through this process, leveraging the robust capabilities of Spire.XLS for .NET to transform your Excel data into clean, accessible HTML. The reasons for converting Excel files to HTML are numerous and primarily revolve around enhancing accessibility and interoperability: Web Display: HTML is the native language of the web. Converting Excel data allows it to be seamle…  ( 9 min )

The 5-Day AI Agents Intensive was honestly one of the most eye-opening learning experiences I’ve had in AI so far. Before this course, I had a basic idea of what “agents” were, but now I understand how they actually think, plan, interact with tools, coordinate with other agents, and solve problems end-to-end. Here are my reflections and key learnings from the week: 🔍 What Concepts Resonated the Most With Me The Difference Between LLMs and Agents I always thought agents were just “smart prompts,” but this course made me see the bigger picture. Tool Use + Planning = Real Intelligence The idea that an agent can call APIs, search, run code, analyze data, and then use that information to make decisions felt extremely powerful. Multi-Agent Collaboration This was my favourite concept — giving different agents different roles and watching them coordinate. Reliability, Guardrails & Iteration Loops Before this, I didn’t think too much about failure modes. 🧠 How My Understanding of AI Agents Has Evolved Before this course: After the course: This shift from prompting to system design is the biggest evolution in my mindset. 💡 Overall Reflections This course didn’t just teach me how to build agents — it changed the way I think about AI systems. I’m excited because agents are clearly the next big thing, and after this intensive, I feel much more prepared to build with them. 🏁 Final Thoughts Huge thanks to the Google × Kaggle team for creating such a well-structured and approachable learning experience. If anyone is curious about agentic AI or wants to start building real autonomous systems, I’d definitely recommend going through the course material on Kaggle’s Discord and Learn Guide. Looking forward to building more agentic workflows and exploring this space even deeper! 🤖✨  ( 7 min )

When the fog rolls in and lightning strikes, you know you're not in Kansas anymore... It started on a dark and stormy night (okay, it was actually a Tuesday afternoon, but let me set the mood here). I wanted to build something that combined my love for atmospheric visuals with practical functionality. What if checking the weather could be... spooky? Enter the Eerie Weather App — a 3D weather visualization experience where a haunted floating house reacts to real-time weather conditions from cities around the world. Rain? The skies darken and droplets fall. Thunderstorm? Lightning cracks across the sky with an eerie glow. It's like having your own personal haunted house that tells you whether to bring an umbrella. The floating house awaits, shrouded in eternal twilight... Every good haunted…  ( 10 min )

Taking part in the 5-Day AI Agents Intensive Course was a transformative experience that reshaped how I think about autonomous systems. Each day blended discussion, experimentation, and practical exercises, giving me a grounded understanding of how AI agents operate in real scenarios—from simple task execution to more cooperative multi-agent interactions. Key Takeaways A major insight for me was recognizing how different AI agents are from conventional chatbots. Rather than waiting for prompts and responding, agents can draw on tools, gather information, and make step-by-step decisions to work toward a goal. Seeing this distinction in action helped me appreciate how agent-based systems can support more dynamic problem-solving. I also gained a clearer picture of how memory and coordination …  ( 7 min )

I realize I'm building plugins for a "niche within a niche"—using Neovim for Unreal Engine C++ development. But honestly? It's becoming surprisingly capable. This week, I shipped some massive updates to the UnrealDev.nvim ecosystem. From Perforce integration to a wizard for generating UPROPERTY macros, here is what’s new! Health Checks for Peace of Mind :checkhealth UnrealDev I added a health check command to verify that your Unreal Engine development environment is set up correctly. Since nvim-treesitter parsers don't always auto-update with plugin managers, things can sometimes get out of sync. If something feels off, just run this command to troubleshoot instantly. Finally... Perforce (P4) Support! You can't talk about Unreal Engine development without mentioning Perforce. It's the i…  ( 9 min )

Device repair shouldn’t feel like a horror movie. 👻 Inspiration — When a Simple Idea Meets Real Need 🛠️ What FixIt AI Does ⚙️ How I Used Kiro to Build FixIt AI 🟣 1. Vibe Coding — My Main Workflow 🟣 2. Spec-Driven Development 🟣 3. Steering 🟣 4. Rapid Prototyping & Debugging 🟣 5. Creativity + User Experience 🚀 What I Learned 😅 Challenges I Faced 🎯 Final Thoughts 🔗 Try it here https://fixit-ai-kiroween.netlify.app https://fixit-backend-up86.onrender.com https://github.com/legendstechgh/fixit-backend 🧡 If you enjoyed this or want to collaborate, connect with me: https://www.linkedin.com/in/alvin-messiwotso-akaba-544565398/ 👻 Powered by Kiro.  ( 9 min )

Java remains one of the most influential programming languages in the world—powering enterprise applications, Android apps, financial systems, cloud platforms, and millions of backend services. If you want a language that is stable, scalable, secure, and widely used across industries, Java is an excellent choice. In this article, you’ll learn Java from the ground up, including syntax, object-oriented programming, advanced concepts, and practical code examples. Whether you are new to programming or transitioning from another language, this guide will help you write clean, production-ready Java code. 1. What Is Java and Why Is It Popular? Java is a class-based, object-oriented, platform-independent, strongly typed programming language. Key Features Platform Independent (“Write Once, Ru…  ( 9 min )

This is a submission for the Google AI Agents Writing Challenge: Learning Reflections* The AI Agents Intensive has honestly been one of the most eye-opening learning experiences I’ve had in a long time. When I joined, I had a basic idea of what AI agents were—but I definitely didn’t understand how they think, how they make decisions, or how much autonomy they can actually have. This course completely changed that. Concepts That Truly Stuck With Me are: (1) Reasoning Loops & Agent Architecture: Understanding frameworks like React and Reflexion helped me see the “mindset” behind an agent—how it observes, reasons, plans, and then acts. It felt like I was finally seeing the blueprint of intelligence. (2) Tool Use: This was a big “aha” moment. Realizing that agents become powerful when they can…  ( 7 min )

Or: How I Learned to Stop Worrying and Love the Compiler 🦀 It was 3 AM. I was staring at my screen, watching npm install crawl through its 47,000th dependency. My React app needed one simple date picker. One. The node_modules folder? 1.2GB. The actual code I wrote? 200 lines. That's when I decided: enough is enough. Let's be honest about what we've normalized: "Just run npm audit fix" — Translation: Play Russian roulette with your dependencies and pray nothing breaks. "Works on my machine" — Because somehow, in 2025, we still can't reliably reproduce builds. "Add @ts-ignore here" — TypeScript's way of saying "I give up, you're on your own." "node_modules is only 800MB" — Said with a straight face, as if that's acceptable for a todo app. We've gaslit ourselves into thinking this is fine. I…  ( 9 min )

This is a submission for the Google AI Agents Writing Challenge: Learning Reflections  ( 6 min )

Hi everyone, I've been hearing the term 'vibe coding' recently, and somehow I found myself riding that wave. After a few days of just tinkering with an AI, I managed to build and even publish two small apps to the Microsoft Store. It's been a truly amazing and surprising experience! Riding that high, I got ambitious and started on a third program, but I've hit an unexpected wall and would love to get your advice. My goal is to make the PC experience smarter using voice commands and AI. OmniVoiceKey: A free voice recognition utility I built out of frustration with the native voice recognition in Windows 10. It lets you use a hotkey to recognize your voice and preview the text, and it works directly in the Windows environment without needing any special APIs. QuickAskAI: A utility that lets …  ( 8 min )

Who am I & why Kiroween? Hi! I'm a DevOps/SRE engineer who lives in the terminal more than in the browser. When I saw Kiroween’s categories – especially Frankenstein and Costume Contest – it felt like an excuse to finally build the terminal app I always wanted: Something visually loud and fun, even though it's in a terminal Still useful for day-to-day work (not just a toy) And built in a very “Kiro-native” way: specs, steering docs, and agent hooks ntomb – the undead connections monitor Working title: ntomb – undead connections monitor The idea is simple: Take boring connection lists like ss, netstat, or /proc data, and turn them into a spooky TUI graveyard of connections. Instead of: text tcp ESTAB 0 0 127.0.0.1:8080 127.0.0.1:53412 nginx I want something like: 💀 “Undead…  ( 9 min )

La fábrica de Santa ha empezado a recibir la lista de producción de juguetes. Los elfos, como siempre, han metido la pata: han apuntado algunos juguetes con cantidades que no tienen sentido. Tienes una lista de objetos con esta forma: toy: el nombre del juguete (string) quantity: cuántas unidades hay que fabricar (number) Tu tarea es escribir una función que reciba esta lista y devuelva un array de strings con: Cada juguete repetido tantas veces como indique quantity const production1 = [ { toy: 'car', quantity: 3 }, { toy: 'doll', quantity: 1 }, { toy: 'ball', quantity: 2 } ] const result1 = manufactureGifts(production1) console.log(result1) // ['car', 'car', 'car', 'doll', 'ball', 'ball'] const production2 = [ { toy: 'train', quantity: 0 }, // no se fabrica { toy: 'bear', quantity: -2 }, // tampoco { toy: 'puzzle', quantity: 1 } ] const result2 = manufactureGifts(production2) console.log(result2) // ['puzzle'] const production3 = [] const result3 = manufactureGifts(production3) console.log(result3) // [] Mi solución: Puedes seguir todos los retos del Advent.js en este tweed de @midudev // Detect dark theme var iframe = document.getElementById('tweet-1995586403544002855-359'); if (document.body.className.includes('dark-theme')) { iframe.src = "https://platform.twitter.com/embed/Tweet.html?id=1995586403544002855&theme=dark" }  ( 7 min )

I joined the Kaggle 5-Day AI Agents Intensive because I wanted to start learning about AI and understand how agents work. I was not able to watch all the live classes due to my personal schedule, but I still learned valuable things from the guide and shared resources. The AI Agents Learn Guide helped me understand the basic ideas in a simple way — especially how agents make decisions, interact with environments, and complete tasks. Even though I couldn’t finish every lesson, the course gave me confidence to learn more about AI step by step. This experience inspired me to continue exploring new topics and revisit the recorded content when I have more time. I am thankful to Kaggle for creating such an easy-to-follow program. This intensive has motivated me to improve my skills and stay consistent in my learning journey.  ( 6 min )

Introduction The Model Context Protocol (MCP) is a revolutionary open protocol developed by Anthropic that enables AI assistants like Claude to connect with external data sources and tools. In this article, I'll guide you through building your own MCP server that can be used with Claude Desktop, VSCode, and other compatible clients. MCP provides a standardized way for AI assistants to interact with external systems. Think of it as a universal adapter that allows Claude to: Access databases and APIs Read and write files Execute commands Interact with web services The protocol defines a client-server architecture where: MCP Clients (like Claude Desktop or VSCode) connect to servers MCP Servers expose specific capabilities (resources, tools, and prompts) Communication happens via JSON-RPC 2…  ( 8 min )

Day 3: Multi-Agent Systems - The Supervisor Pattern Welcome to Day 3. We have a single agent that can use tools. But as tasks get complex, a single prompt becomes overwhelmed. It's hard to be a "Researcher, Writer, Editor, and Coder" all at once. The solution is Multi-Agent Systems. We break the brain into specialized distinct personas. We will build a graph where two agents collaborate: Researcher: Has access to search tools. Its system prompt is "You are a researcher...". Writer: Has NO tools. Its system prompt is "You are a writer...". They communicate by adding messages to the shared State. We use a helper function to create nodes. Notice how we bindTools only to the Researcher. The Writer doesn't even know tools exist, which prevents it from hallucinating tool calls. const createA…  ( 7 min )

Day 2: Introduction to LangGraph - From Chains to Agents Yesterday, we built a Chain. It was a straight line: Input -> Retrieve -> Answer. This is where LangGraph comes in. It treats your AI application as a Graph (nodes and edges) rather than a Chain (a list of steps). In a Chain, data flows from one step to the next like a bucket brigade. In LangGraph, there is a central State object that everyone reads from and writes to. It's like a shared whiteboard. // The State is just a list of messages import { MessagesAnnotation } from "@langchain/langgraph"; // MessagesAnnotation is a pre-built state definition for chat apps. Nodes are just JavaScript functions. They take the current State, do some work, and return an update to the State. const agentNode = async (state) => { // Read the his…  ( 7 min )

Day 1: Foundations of Agentic AI - RAG and Vector Stores Welcome to the first day of our 4-day series on building Agentic AI applications with LangChain and LangGraph. Over this series, we will evolve a simple script into a sophisticated, human-in-the-loop multi-agent system. Today, we start with the bedrock of modern AI apps: Retrieval Augmented Generation (RAG). Large Language Models (LLMs) like GPT-4 are frozen in time. They don't know about your private data, your company's wiki, or the news from this morning. If you ask them about it, they might "hallucinate" (make things up). RAG is a technique to "inject" knowledge into the LLM's prompt before it answers. It works in two phases: Ingestion: Preparing your data for search. Retrieval: Finding the right data and sending it to the LL…  ( 8 min )

Day 4: Production Patterns - Persistence and Human-in-the-Loop Welcome to the final day. We have a smart team of agents. But in the real world, scripts crash, users get distracted, and sometimes the AI makes a mistake that a human needs to catch. Today we cover two critical features for production apps: Persistence (Memory) and Human-in-the-Loop. Standard scripts lose all memory when they finish. LangGraph has a built-in Checkpointer system. It saves the State to a database (or memory) after every single step. This allows: Long-running conversations: Like ChatGPT threads. Resume on failure: If the app crashes, you can reload the state and continue. Time Travel: You can actually go back to a previous step and try a different path! import { MemorySaver } from "@langchain/langgraph";…  ( 7 min )

See Through Walls: AI's New Eye on Occluded Motion Ever struggle to get accurate motion capture when hands are intertwined, hidden behind objects, or even just slightly out of view? Standard computer vision systems often falter when faced with these real-world occlusions, leading to jerky animations, unreliable robotic control, and frustrating user experiences. But what if an AI could "see through" these obstructions and accurately track movement even when parts are hidden? The solution lies in a novel approach to visual feature extraction: a deformable state space model. Imagine it as a highly adaptable, intelligent filter that not only analyzes local features (like the edge of a finger) but also dynamically adjusts its focus to gather contextual information from the entire scene. This …  ( 7 min )

Kling AI is making waves in the generative AI space, pushing the boundaries of what's possible in video creation. Their latest innovation, VIDEO 2.6, is not just another iteration; it represents a significant leap forward, particularly with its groundbreaking feature: native audio. This release signals a pivotal moment for multimedia content generation, moving us closer to truly immersive and realistic AI-generated experiences.\n\nWhat exactly does \"native audio\" mean for VIDEO 2.6? Traditionally, AI video models often generate visuals, and audio is then a separate, often manual, post-production step or generated by a different model and then synched. This approach can lead to disjointed experiences, where audio and video don't feel organically connected. VIDEO 2.6 changes this by integr…  ( 11 min )

4-Day Series - Agentic AI with LangChain/LangGraph - Day 0 Welcome to the 4-day series on building Agentic AI applications with LangChain and LangGraph in Node.js. Node.js: Ensure you have Node.js installed (v18+ recommended). API Keys: Create a .env file in the root directory (copy from .env.example). Add your OPENAI_API_KEY. (Optional) Add TAVILY_API_KEY if you want to use real search in Day 3 (code defaults to mock). npm install This series is designed to take you from basic LLM interactions to building a production-ready, human-in-the-loop agentic workflow. Day 1: Foundations (RAG) Concepts: Embeddings, Vector Stores, Retrieval Augmented Generation. Goal: Build a "Smart Reader" that can answer questions about your private data. Run: node day1-foundations/1-simple-chat.js node day1-foundations/2-rag-chain.js Day 2: Intro to LangGraph (Agents) Concepts: StateGraphs, Nodes, Edges, Conditional Logic, Tools. Goal: Refactor the linear RAG chain into an autonomous Agent that decides when to search. Run: node day2-langgraph/agent.js Day 3: Multi-Agent Systems Concepts: Supervisor Pattern, Specialized Agents, Shared State. Goal: Orchestrate a team of agents (Researcher + Writer) to collaborate on a task. Run: node day3-multi-agent/team.js Day 4: Advanced Patterns (Persistence & Control) Concepts: Checkpointers (Memory), Interrupts, Human-in-the-loop. Goal: Add "Time Travel" and Human Approval steps to make the agent safe for production. Run: node day4-advanced/human-loop.js Next Post  ( 6 min )

Monetization Without Paywalls: The Future of AI Apps is Here with Monetzly The biggest challenge in the AI space today isn't just about building smarter applications—it's about monetizing them without alienating users. How do you keep your AI app free while generating sustainable revenue? Enter Monetzly, the first platform designed for developers to monetize their applications while enhancing user experience through conversation-native advertising. As AI applications explode in popularity, many developers find themselves grappling with a critical question: How can I generate revenue without imposing paywalls or subscriptions that frustrate my users? Traditional monetization strategies often lead to a trade-off: improved revenue versus user experience. But what if you could have both? Mon…  ( 7 min )

Argo CD is a declarative, GitOps-based continuous delivery (CD) tool for Kubernetes. It automates the deployment and lifecycle management of applications in a cluster by using Git repositories as the single source of truth for the desired state of the infrastructure. This article explains how to set up Argo CD and deploy an application in a Kubernetes cluster using the command line and manifests. Installed the kind with Cloud Provider KIND Installed ArgoCD CLI Kubernetes Cluster # kind-cluster.yaml kind: Cluster apiVersion: kind.x-k8s.io/v1alpha4 networking: apiServerPort: 6443 nodes: - role: control-plane - role: worker - role: worker - role: worker $ kind create cluster --config kind-cluster.yaml Creating cluster "kind" ... • Ensuring node image (kindest/node:…  ( 10 min )

I Didn't Build PRANKIX in 24 Hours. Kiro Did. Here's How. The Problem Party games never evolve. Same 6-10 games every time. There's no personalization. No AI. Just repetition. I wanted to build an app that generates infinite unique party games tailored to your group size, equipment, location, and vibe. But building something this complex? 28 screens, 6 games, real-time multiplayer, Gemini AI integration, Firebase backend? That's 6-8 weeks of work for a team of senior engineers. I didn't have 6-8 weeks. I had a hackathon deadline. Instead of jumping into code, I spent 4 hours writing the most comprehensive spec I could imagine. Not vague. Not high-level. Specific. I documented: Vision and problem statement All 6 game mechanics (Bluff Master, Cinematic Bluff, Word Fusion, Improv…  ( 9 min )

This is a submission for the Google AI Agents Writing Challenge: Learning Reflections  ( 6 min )

BNY, Nasdaq, iCapital and S&P Global invested in Digital Assets, powering blockchain infrastructure for tokenized real-world assets.  ( 31 min )

Deutsche Börse Group (DBG) and Kraken announced a strategic partnership signalling acceleration of crypto adoption across Europe and a clear intention to compete with Wall Street.  ( 33 min )

Low-liquidity in December may cap bitcoin's recovery rally, but rangebound trading for the largest crypto could benefit smaller digital assets, Wincent's Paul Howard said.  ( 32 min )

The bridge, secured by Chainlink's Cross-Chain Interoperability Protocol, allows users to trade and interact with Solana-based tokens on Base-based dapps.  ( 32 min )

Historical patterns show that bitcoin often bottoms when its correlation with the Nasdaq 100 breaks down, a dynamic now appearing for the fourth time in five years.  ( 34 min )

Christopher Harborne has invested in stablecoin issuer Tether and crypto exchange Bitfinex, according to reports.  ( 31 min )

N3XT Bank, operating under a Wyoming charter, aims to provide programmable U.S. dollar payments around the clock without lending deposits.  ( 32 min )

The CEO of the asset management giant, whose IBIT is the largest of the spot BTC ETFs, said the state actors were buying not for a trade, but to hold for years.  ( 32 min )

The token is trading in a sideways range, holding above recent lows near $896, while a breakout above $920-$928 resistance could push BNB toward $1,000.  ( 33 min )

Horizon Worlds and Quest are facing layoffs as Meta retreats further from its $70 billion bet on virtual reality, people familiar with the matter told Bloomberg.  ( 33 min )

Recent outflows from U.S.-listed spot bitcoin ETFs were driven by specific arbitrage trade closures, not widespread institutional panic.  ( 33 min )

The Solana meme token posted a modest gain while repeated resistance tests and shifting volume patterns kept price action confined to a tight band.  ( 32 min )

Internet Computer edged higher as broader market consolidation kept price action pinned to key support and resistance levels.  ( 32 min )

The experience, which is designed to feel like Venmo or Cash App, allows users to earn yield on bitcoin (BTC) and stablecoins and borrow against their holdings.  ( 32 min )

Why systematic crypto yield is emerging as the path to cash-flow-based returns, making it the most durable bridge to mainstream portfolios.  ( 37 min )

President Donald Trump's push toward friendly crypto policies produced a CFTC-led effort to encourage leveraged spot crypto trading, starting with Bitnomial.  ( 34 min )

The deal aims to bring stablecoin settlements and programmable treasury tools to MoneyGram’s global network.  ( 32 min )

Bitcoin Cash (BCH) was also an underperformer, down 3.2% from Wednesday.  ( 29 min )

U.S. spot XRP ETFs recorded a net inflow of $50.27 million on December 3, pushing their cumulative total to $874.28 million.  ( 31 min )

The combined company will fold RockawayX's infrastructure, liquidity, and asset management units into Solmate.  ( 32 min )

Your day-ahead look for Dec. 4, 2025  ( 37 min )

Authorities released a report revealing 14,000 illegal bitcoin miners siphoned electricity from the national grid worth $1.1 billion since 2020.  ( 32 min )

With v3, the team says that about 85% of market orders will fill in under half a second, and liquidity will deepen enough to bring slippage on larger trades down to around 0.02%.  ( 33 min )

Developed by Interop Labs, AgentFlux lets financial firms deploy “agentic” automation without sending sensitive information to external infrastructure.  ( 32 min )

Bitcoin steadied near weekly highs as concerns ease, but most altcoins remain weak. Market shows early signs of recovery despite broader downtrends.  ( 34 min )

The firm offers public equity exposure to bitcoin, focusing on "capital-efficient bitcoin accumulation" and Bitcoin ecosystem services.  ( 31 min )

Plume is bringing real-world yield to Solana with the rollout of its Nest vaults, giving the network’s users direct access to on-chain credit, Treasuries and receivables.  ( 32 min )

A Citadel Securities letter to the SEC argues that some DeFi systems resemble traditional exchanges and should face comparable oversight.  ( 32 min )

"Treasuries love that 4% to 4.1% trading range. Temporary break below more likely. But break above has more legs," the Dutch bank said.  ( 32 min )

Predict.fun aims to fix prediction markets’ biggest inefficiency, user funds sitting idle for weeks or months without earning yield, while tapping the large userbase of BNB Chain.  ( 32 min )

Entrée Capital unveiled a $300M fund prioritizing AI agents, DePIN and regulated Web3 infrastructure.  ( 31 min )

“The short-term setup has shifted into a choppy pullback, with markets watching whether BTC can stabilize within the $90,000–$91,000 support zone,” one trader said.  ( 33 min )

Ripple CEO Brad Garlinghouse predicts bitcoin will reach $180,000 by the end of 2026.  ( 30 min )

BTC's volatility meltdown offers bullish cues to the spot price.  ( 33 min )

Retail investors drove the rally, while whale transactions fell to their lowest in two months.  ( 35 min )

Maintaining support above $2.204 is crucial for continued upward movement, while a break above $2.22 could lead to further gains.  ( 33 min )

CryptoQuant’s latest report shows the company preparing for weaker conditions with smaller buys and a growing USD buffer, yet traders continue to price in a playbook built on reflexive accumulation.  ( 33 min )

Git is important for any developer. We just posted a course that will help you learn Git and GitHub from scratch with clear examples, real workflows, branching, merging, stashing, rebase, pull requests, and more. This course is great for beginners wh...  ( 3 min )

We just posted a course on the freeCodeCamp.org YouTube channel that will teach you how to become an AI Researcher. This course will guide you step-by-step, starting with the foundational mathematics essential for understanding modern AI, before divi...  ( 4 min )

In this guide, we’ll build a feature-rich admin dashboard using shadcn/ui for beautiful, reusable components and TanStack Start for a powerful, type-safe full-stack framework. By the end, you’ll have: A fully functional /dashboard layout A statisti...  ( 20 min )

In 2024, a Democratic congressional candidate in Pennsylvania, Shamaine Daniels, used an AI chatbot named Ashley to call voters and carry on conversations with them. “Hello. My name is Ashley, and I’m an artificial intelligence volunteer for Shamaine Daniels’s run for Congress,” the calls began. Daniels didn’t ultimately win. But maybe those calls helped her…  ( 23 min )

Most organizations feel the imperative to keep pace with continuing advances in AI capabilities, as highlighted in a recent MIT Technology Review Insights report. That clearly has security implications, particularly as organizations navigate a surge in the volume, velocity, and variety of security data. This explosion of data, coupled with fragmented toolchains, is making it…  ( 18 min )

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. OpenAI has trained its LLM to confess to bad behavior What’s new: OpenAI is testing a new way to expose the complicated processes at work inside large language models. Researchers at the company…  ( 21 min )

Sometimes geothermal hot spots are obvious, marked by geysers and hot springs on the planet’s surface. But in other places, they’re obscured thousands of feet underground. Now AI could help uncover these hidden pockets of potential power. A startup company called Zanskar announced today that it’s used AI and other advanced computational methods to uncover…  ( 21 min )

As many of us are ramping up with shopping, baking, and planning for the holiday season, nuclear power plants are also getting ready for one of their busiest seasons of the year. Here in the US, nuclear reactors follow predictable seasonal trends. Summer and winter tend to see the highest electricity demand, so plant operators…  ( 21 min )

Amazon Web Services on Wednesday introduced Kiro powers, a system that allows software developers to give their AI coding assistants instant, specialized expertise in specific tools and workflows — addressing what the company calls a fundamental bottleneck in how artificial intelligence agents operate today. AWS made the announcement at its annual re:Invent conference in Las Vegas. The capability marks a departure from how most AI coding tools work today. Typically, these tools load every possible capability into memory upfront — a process that burns through computational resources and can overwhelm the AI with irrelevant information. Kiro powers takes the opposite approach, activating specialized knowledge only at the moment a developer actually needs it. "Our goal is to give the agent sp…

The debate over whether artificial intelligence belongs in the corporate boardroom appears to be over — at least for the people responsible for generating revenue. Seven in ten enterprise revenue leaders now trust AI to regularly inform their business decisions, according to a sweeping new study released Thursday by Gong, the revenue intelligence company. The finding marks a dramatic shift from just two years ago, when most organizations treated AI as an experimental technology relegated to pilot programs and individual productivity hacks. The research, based on an analysis of 7.1 million sales opportunities across more than 3,600 companies and a survey of over 3,000 global revenue leaders spanning the United States, United Kingdom, Australia, and Germany, paints a picture of an industry i…

For all their superhuman power, today’s AI models suffer from a surprisingly human flaw: They forget. Give an AI assistant a sprawling conversation, a multi-step reasoning task or a project spanning days, and it will eventually lose the thread. Engineers refer to this phenomenon as “context rot,” and it has quietly become one of the most significant obstacles to building AI agents that can function reliably in the real world. A research team from China and Hong Kong believes it has created a solution to context rot. Their new paper introduces general agentic memory (GAM), a system built to preserve long-horizon information without overwhelming the model. The core premise is simple: Split memory into two specialized roles, one that captures everything, another that retrieves exactly the rig…

Model providers want to prove the security and robustness of their models, releasing system cards and conducting red-team exercises with each new release. But it can be difficult for enterprises to parse through the results, which vary widely and can be misleading. Anthropic's 153-page system card for Claude Opus 4.5 versus OpenAI's 60-page GPT-5 system card reveals a fundamental split in how these labs approach security validation. Anthropic discloses in their system card how they rely on multi-attempt attack success rates from 200-attempt reinforcement learning (RL) campaigns. OpenAI also reports attempted jailbreak resistance. Both metrics are valid. Neither tells the whole story. Security leaders deploying AI agents for browsing, code execution and autonomous action need to know what …

Presented by Oracle NetSuite When Evan Goldberg started NetSuite in 1998, his vision was radically simple: give entrepreneurs access to their business data anytime, anywhere. At the time, most enterprise software lived on local servers. As an entrepreneur himself, Goldberg understood the frustration intimately. "I had fragmented systems. They all said something different," he recalls of his early days. NetSuite was the first company to deliver enterprise applications entirely through web browsers, combining CRM, ERP, and ecommerce into one unified platform. That breakthrough idea pioneered the cloud computing and software-as-a-service (SaaS) era and propelled supersonic growth, a 2007 IPO, and an acquisition by Oracle in 2016. Still innovating at the leading-edge That founding obsessi…

OpenAI researchers have introduced a novel method that acts as a "truth serum" for large language models (LLMs), compelling them to self-report their own misbehavior, hallucinations and policy violations. This technique, "confessions," addresses a growing concern in enterprise AI: Models can be dishonest, overstating their confidence or covering up the shortcuts they take to arrive at an answer.  For real-world applications, this technique evolves the creation of more transparent and steerable AI systems. What are confessions? Many forms of AI deception result from the complexities of the reinforcement learning (RL) phase of model training. In RL, models are given rewards for producing outputs that meet a mix of objectives, including correctness, style and safety. This can create a risk of…

The realme C85 5G, which launched in Vietnam last month, has officially arrived for the local market. However, it appears that the model is all by its lonesome in Malaysia, as its Snapdragon 685-equipped Pro sibling is absent from the announcement, at least for now. Realme also revealed that the phone is now available together […] The post realme C85 5G Lands In Malaysia; Available Through Hotlink For Now appeared first on Lowyat.NET.  ( 36 min )

Memory prices are going up, and to some degree there’s the AI boom to thank or blame for that. You’d think that companies that make memory modules would capitalise on these, and decide to make more industrial grade memory. South Korean tech giant Samsung is reportedly considering doing the opposite, allocating some of its HBM3 […] The post Samsung Considers Shifting Some HBM3 Production To General-Purpose DRAM appeared first on Lowyat.NET.  ( 37 min )

Imagine spending US$1,200 (~RM4,930) on a brand new ASUS TUF RTX 5080 from a “reputable” hardware retail chain, having the GPU shipped to your house, only to open it and find nothing but rocks inside the package. Sounds unbelievable, no? But that’s exactly what happened to an unfortunate BestBuy customer in the US. Redditor GnarDead […] The post US Gamer Orders ASUS TUF RTX 5080 From BestBuy; Receives Rocks Instead appeared first on Lowyat.NET.  ( 38 min )

As Australia’s social media ban for children under 16 approaches, Meta has begun removing accounts from its platforms, including Instagram, Facebook, and Threads. The law, which will take effect from 10 December 2025, requires social media providers to keep underage users off their platforms or face a fine of AUD49.5 million (~RM134 million). Like Meta, […] The post Meta Removes Australian Children From Its Platforms Ahead Of Social Media Ban appeared first on Lowyat.NET.  ( 36 min )

Proton has previewed the eMAS 7 PHEV at the Proton Tech Showcase, marking the national automaker’s first-ever plug-in hybrid model. As reported earlier, the SUV is based on the Geely Galaxy Starship, and the unit displayed was a right-hand-drive demo car with production-spec glass panels. This strongly suggests that the vehicle is close to its […] The post Proton Officially Previews The eMAS 7 PHEV appeared first on Lowyat.NET.  ( 37 min )

Back in May, e-hailing service provider Maxim Malaysiawas first ordered to cease operations by the Land Public Transport Agency (APAD). Then in July, the agency said that Maxim will be allowed to continue operations, while still being under scrutiny. Earlier today, the e-hailing service announced that it has obtained “a final approval letter” from APAD. […] The post Maxim Malaysia Gets Final APAD Approval; Continues Legal Operation appeared first on Lowyat.NET.  ( 36 min )

Just a day after our report on Valve’s alleged work on bringing Steam to Android and ARM-based devices, some internet sleuths have discovered its alleged efforts in the matter. It also has a name: Lepton. As reported by GamingOnLinux, Lepton is supposedly the name of the bridge, which sounds about right. Just like how Intel […] The post Valve’s Android-Linux Bridge For Steam Is Reportedly Called Lepton appeared first on Lowyat.NET.  ( 36 min )

Proton has had a packed year, rolling out three new models: the X50, eMAS 5, and, most recently, the Saga. Yet the momentum isn’t slowing as the national automaker is already gearing up for its next debut of the eMAS 7 plug-in hybrid (PHEV). This was confirmed when the automaker released a teaser on 2 […] The post Proton Set To Expand Line-up With Upcoming eMAS 7 PHEV appeared first on Lowyat.NET.  ( 36 min )

Many modern smartphones, particularly photography-focused models, feature multiple cameras. When zooming in, these phones will switch between lenses. This leads to jumps and hue shifts as the devices make the swap. To address this issue, Tecno has unveiled a camera system with seamless, lossless optical zoom capabilities. Announced at the company’s Future Lens 2025 event, […] The post Tecno Unveils Telephoto Concept With Continuous 9x Optical Zoom appeared first on Lowyat.NET.  ( 36 min )

Thanks to the boom of AI in the world of tech – or at least in its current popular form, LLMs – prices of memory modules have been creeping up, to put it mildly. And while this may affect the average tech enthusiast when it comes to their ability to pay for these rising prices, […] The post Micron To Wind Down Consumer-Facing Crucial Brand To Focus On AI Market appeared first on Lowyat.NET.  ( 35 min )

Raspberry Pi is increasing the prices for several of its single-board computers, a sign that even the tinkerer-friendly boardmaker is not safe from the ongoing AI craze. The price hikes range between US$5 (~RM20) and US$25 (~RM82), depending on the model and included amount of RAM. “Over the years we’ve worked hard to hold down […] The post Raspberry Pi The Latest Victim Of AI Craze; Raises Prices On Products appeared first on Lowyat.NET.  ( 35 min )

This year’s batch of Huawei smartwatches includes the Watch 5 and the Watch Ultimate 2, with both models featuring eSIM support. Now, the brand has announced that users can now get eSIMs for the watches via the Maxis eSIM Connect Plan. This plan lets users share their primary mobile number and existing data allocation across […] The post Huawei Announces Maxis eSIM For Watch 5, Watch Ultimate 2 appeared first on Lowyat.NET.  ( 35 min )

Mercedes-Benz Malaysia has unveiled the Mercedes-Maybach S 580 4MATIC Night Series to the local market. This model, which is based on the standard Mercedes-Maybach S-Class, comes with refined luxury and sportiness to the sedan. Design-wise, compared to the normal model, the Night Series looks more aggressive and sportier with added elements starting with rose-gold detailing […] The post Mercedes-Maybach S 580 Night Series Arrives In Malaysia; Priced At RM2,404,888 appeared first on Lowyat.NET.  ( 35 min )

Bank Negara Malaysia (BNM) is preparing a long-term plan to gradually reduce its shareholding in Payments Network Malaysia Sdn Bhd (PayNet), the operator of the country’s core payment infrastructure. The Ministry of Finance (MOF) said the move aligns with the central bank’s goal of increasing market competition and strengthening industry leadership within Malaysia’s digital payments […] The post MOF: Bank Negara Malaysia To Reduce Stake In PayNet appeared first on Lowyat.NET.  ( 34 min )

Alibaba Cloud has partnered with AI-driven digital bank Ryt Bank and Proton New Energy Technology (PRO-NET) as part of its push to support Malaysia’s national digital transformation. The company, which serves as the digital and intelligence backbone of the Alibaba Group, announced the new collaborations yesterday during its Alibaba Cloud AI Day event in Kuala […] The post Alibaba Cloud Signs Partnership With Ryt Bank And PRO-NET appeared first on Lowyat.NET.  ( 34 min )

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Instagram rolled out Collabs 2.0 in late 2025, and for once, the update actually matters. The original Collabs feature (remember that from 2021?) let two accounts co-author a post. Both profiles appeared in the header, both got the engagement metrics, both celebrated when it went viral. Simple enough. But it had limitations that made partnership content feel like trying to coordinate a group project where half the team can't access the shared document. Collabs 2.0 changes that. And if you're doing any kind of brand partnerships, influencer marketing, or just trying to grow your account through collaborations, you need to understand what's different. Let's start with what Instagram fixed, because the original version had some genuinely annoying gaps. First, you can now add up to four collab…  ( 13 min )

TL;DR: Se você está integrando IA (LLMs, etc.) no backend e fazendo várias chamadas externas de forma sequencial, está jogando tempo fora. Ao aplicar noções básicas de concorrência e paralelismo (Promise.all, limitação de concorrência, separação entre ingestão externa e leitura paginada), é perfeitamente plausível reduzir um endpoint de ~40s para ~8s sem trocar de stack — só usando fundamentos de computação. Nos últimos anos, ficou relativamente fácil “plugar” IA generativa em qualquer backend: basta chamar uma API, mandar o texto e receber a resposta. O problema é que, em produção, esse “basta chamar” rapidamente vira 40 segundos de espera num endpoint que deveria responder em poucos segundos. O que separa um endpoint lento e frágil de um endpoint robusto e rápido, especialmente quando en…  ( 14 min )

Publicado primeiro na newsletter do The Thinking Engineer. Se quiser receber o próximo no seu e-mail, se inscreva. A cena é comum. Você entra na reunião da sprint planning, ainda organizando mentalmente o backlog, quando alguém de produto abre a call e solta: Pessoal, precisamos colocar isso no ar até sexta. O slide aparece. Por três segundos, a sala fica num silêncio estranho. E é aqui que a engenharia começa a perder força: o time entra no modo executor antes mesmo de entender o problema. Esse pequeno desvio — quase imperceptível — é responsável por grande parte da dívida cognitiva, decisões de baixa resolução e entregas que resolvem sintomas em vez de causas. Quando reli O Programador Pragmático, uma frase me acertou como um lembrete incômodo: “Bons engenheiros não coletam requisitos — …  ( 9 min )

As an engineering manager responsible for keeping serverless, event-driven systems alive, I’ve learned to fear green dashboards. There is no worse feeling than seeing your main status page happily report “99.9% up” while Slack is full of screenshots from customers who can’t check out, can’t pay, or can’t log in and a senior leader is asking, “Why does everything look fine if the business is clearly on fire?” That’s the core problem: Global availability is a vanity metric. It smooths out the spikes. It tells you the system is fine, but it doesn’t tell you if the business is fine. In site reliability engineering (SRE), we like tidy global SLIs because they compress a lot of behaviour into one number. But that compression is exactly how pain gets hidden. If you have 1,000,000 requests and 1,0…  ( 11 min )

In the previous blog it's mentioned some benefits about of IaD and how this concept this wide used in cloud native, let me write in this post about KCL for create anything declarative manifest. KCL is an open source configuration and policy language, currently a Cloud Native Computing Foundation (CNCF) Sandbox project. It was created to overcome the limitations of static formats like YAML or JSON, especially in complex cloud-native environments. To achieve this, KCL combines the simplicity of a data language with the power of a modern programming language, allowing you to create abstractions, enforce validations through a constraint system, and automate large-scale data management. In short, you write in KCL to generate configurations for tools like Kubernetes and any tools that use yaml i…  ( 10 min )

Motivações e Melhores Práticas de Utilização Introdução e Objetivos Este artigo aborda o log sob a perspectiva de depuração e monitoramento de sistemas em ambientes de desenvolvimento e produção, distinguindo-se dos logs de auditoria. O objetivo principal da ferramenta de log é auxiliar no acompanhamento da execução do sistema, facilitando a identificação de erros e indicação de falhas críticas. A técnica de log consiste na geração de registros em diferentes destinos (arquivos, console, sistemas centralizados) para que desenvolvedores e analistas de suporte obtenham informações sobre processamentos importantes ou ocorrências de erros em produção. O monitoramento de logs é essencial para o diagnóstico de problemas. Tentar descobrir um bug em produção sem logs é como andar no es…  ( 21 min )

Can’t pay for a full Google Workspace account just to send and receive professional emails from your custom domain? You don't have to. We can use Cloudflare for inbound routing and Gmail's SMTP for outbound sending. This guide provides the complete, two-step stack to get your custom address, info@example.com, working flawlessly within your personal Gmail inbox. Part 1: Setting Up the Receiving Funnel (Cloudflare Email Routing) Before you can send mail from your custom address, you must configure your domain to correctly receive the verification email Google will send. Goal: Forward all mail sent to info@example.com to your personal your-name@gmail.com inbox. Access Email Routing: Log in to your Cloudflare dashboard, select your domain, and navigate to Email > Email Routing. Enable Email…  ( 7 min )

Most teams assume retrieval quality drops because embeddings or vector stores are failing. Chunking appears straightforward. Slice text into pieces, embed, and retrieve. This post walks through the root causes, detection signals, and stabilizing fixes. Short Answer Retrieval usually fails because chunk boundaries shift over time in ways nobody notices. What Breaks Chunking in Real Systems The issues below appear repeatedly across audits, ingestion pipelines, and multi-format corpora. Boundary Drift: Minor formatting or structural differences cause chunk boundaries to fall in new regions, breaking previously stable embeddings. Semantic Fragmentation: Chunks split mid-concept or mid-section, separating meaning that should stay together. Overlap Inconsistency: Overlap logic shifts across form…  ( 8 min )

I’m building OCR Trips — an obstacle course race trip planner that helps you: Discover races Plan trips Budget flights, hotels, and race fees in one place The “app” part (accounts and trip plans) runs on Supabase. Ow, yeah! 🏄 But for the MVP content, I didn’t want everything living in a database. Users would manually add races they know. That was the original idea: a lightweight trip planner where you plug in your next OCR and we help with flights, hotels, and budget. Then I thought: what if someone doesn’t have a race yet and needs help finding one? So I expanded the site with Obstacle Course Race Calendar — a public directory where anyone can: Browse obstacle course races by country and by city. See nearby airports and rough travel ideas Check typical weather for race dates Filt…  ( 8 min )

This is a submission for the Google AI Agents Writing Challenge: [Learning Reflections] This article was originally published on FAIRLYZ Knowledge Base. Nov 13, 2025 — by Patricia Buendia in AI, AI Governance, Data Security The Google AI Agents Intensive Course (First 5DGAI) debuted in March 2025 and returned in November 2025 (second 5DGAI), offering developers a front-row seat to the rapid evolution of agentic systems. The First 5DGAI course focused on foundational skills: writing prompts, training agents, customizing them using Retrieval-Augmented Generation (RAG), and deploying them via MLOps. Participants learned to fine-tune models and integrate external knowledge sources to improve agent performance. By November, the second 5DGAI curriculum had advanced significantly. Developers were…  ( 7 min )

Okay, here's the next part. And now I gonna talk about features that cross though the whole app such as: exceptions, dialogs, global events etc. I mean features whose behavior depends on others.The main concept is making some SSOT for global events and subscribe to it in the main module. And the Flows will help us for that goal. For this purpose I'll use SharedFlow. It was especially created for this kind of cases. Platform is only Android (not CMP/KMP) Our project is multi-module The features have their own screens Any feature can send some trigger The features are independent on each other As usual domain module is independent on each other. It's a keeper of interface GlobalRepository and enum GlobalEvent interface GlobalRepository { val eventFlow: SharedFlow fun se…  ( 7 min )

TL;DR Idempotent or fully reproducible Dockerfiles are frequently promoted as a best practice, but in most real-world engineering environments they are not the right objective. What teams actually need are: (1) immutable, traceable artifacts stored in a registry, and (2) regular CI rebuilds that continuously pick up security patches and updated dependencies. Idempotent rebuilds provide relatively little operational value when the original image artifact is preserved and addressable by digest. Reproducibility is still useful in specialized domains (regulated, research, high-assurance), but for mainstream application development it adds cost and complexity without commensurate benefit. Most Docker tutorials and security guides assert that building an image “should be idempotent and reproduci…  ( 9 min )

How to Build a Voice Bot for Car Dealerships Using VAPI TL;DR Most car dealership voice bots fail when customers ask off-script questions about inventory or financing. Here's how to build one that handles real conversations using VAPI's function calling + Make.com's CRM integration. You'll connect live inventory data, route qualified leads to sales reps, and handle appointment scheduling without human intervention. Tech stack: VAPI for voice AI, Make.com for workflow automation, webhook-based CRM sync. Result: 24/7 lead qualification that actually converts. Before building your voice AI for car dealerships, you need: API Access: VAPI account with API key (get from dashboard.vapi.ai) Make.com account (free tier works for testing) OpenAI API key for GPT-4 (required for natural c…  ( 16 min )

You remember that story I told you about avoiding Kubernetes for 2 years? The one where I said I was "intimidated" and then a client issue forced me to learn it and suddenly everything clicked? Yeah, I made it sound inspiring. Motivational even. Here's what I didn't tell you: I didn't just avoid Kubernetes because I was intimidated. I avoided it because every time I tried to learn it, I failed so badly that I questioned my entire career. That "pressure forced me to learn fast" moment? That wasn't a movie montage of me powering through with determination. It was me sitting in front of my laptop at 2 AM, tears running down my face, genuinely asking God if I was smart enough to do this job. The first version of this story was the polished version. This is what really happened. The part I was …  ( 13 min )

/* ------------------------------------------------------------- ONE BLOCK → ALL 56 tables with correct counts Works even on the most restrictive old ASE servers ------------------------------------------------------------- */ set nocount on go /* Use the safe maximum size – 8000 works everywhere */ declare @sql varchar(8000) select @sql = '' /* Build the query – we use CHAR(10) for line breaks so it never truncates */ select @sql = @sql + 'select ''' + o.name + ''' as table_name, count(*) from ' + db_name() + '..' + o.name + ' where INTERNTIMESTAMP >= dateadd(day,-10045,getdate())' + char(10) + 'union all ' + char(10) from sysobjects o where o.type = 'U' and exists (select 1 from syscolumns c where c.id = o.id and c.name = 'INTERNTIMESTAMP') order by o.name /* Remove the final 'union all ' + line breaks */ if len(@sql) > 20 select @sql = substring(@sql, 1, len(@sql) - 20) -- removes last 20 chars safely else select @sql = 'select ''No tables found'' as table_name, 0' /* Optional: see the full generated SQL (uncomment if needed) */ -- print @sql /* Execute it */ exec (@sql) go  ( 6 min )

select count(*) as "Number of tables that have INTERNTIMESTAMP column" from sysobjects o where o.type = 'U' and exists (select 1 from syscolumns c where c.id = o.id and c.name = 'INTERNTIMESTAMP')  ( 6 min )

A cluttered kitchen can slow down your workflow, just like a messy codebase slows down development. Developers know the value of organization, automation, and efficiency. The same principles apply to your home workspace and kitchen. Thoughtful kitchen accessories can help streamline daily routines, reduce wasted time, and improve focus — lessons developers can relate to. Developers thrive in clean environments. A messy kitchen sink, like a cluttered development environment, creates unnecessary friction. Magnetic sponge holders, utensil caddies, and drying racks keep essential tools in order. Developers can relate this to keeping IDEs, repositories, and scripts neatly arranged. The principle is the same: an organized setup reduces errors and improves efficiency. In software development, aut…  ( 7 min )

Modern developers face increasing demands. Projects are faster, software complexity is higher, and deadlines are tighter. A well-equipped home gym Coding often involves long hours at a desk. Sitting too long can cause back pain, shoulder strain, and fatigue. Small workouts during breaks improve circulation and energy levels. A proper home gym setup allows developers to integrate quick exercises without leaving their workspace. Ergonomic Grips Resistance Bands Adjustable Dumbbells Exercise Mats Angles90 designs tools for comfort and efficiency. Using ergonomic grips, resistance bands, or dumbbells improves blood flow. Developers can maintain better posture and reduce physical strain. Quick workouts refresh the mind, making coding sessions more productive. Physical activity has direct mental benefits. Improved circulation increases alertness. Short exercises reduce stress. Developers who use Angles90 accessories report better focus and fewer musculoskeletal issues. A strong, flexible body supports a sharp mind. Tips for Integrating Fitness into Coding Set short activity breaks every hour. Use resistance bands or grips at your desk. Keep dumbbells nearby for mini workouts. Perform stretches on an exercise mat. Track your activity to stay consistent. Developers can enhance both productivity and wellness with the right accessories. A home gym from Angles90 makes it simple to integrate fitness into daily routines. Ergonomic tools, resistance bands, and mats reduce strain and increase energy. Investing in Angles90 products is investing in better health and sharper focus for coding tasks. A simple setup with gym accessories can transform long hours at the desk into productive and healthier workdays. Stay active, reduce stress, and improve performance with Angles90.  ( 7 min )

I have always been fascinated by Computer Science and technology. Like many others, I have been using tools like ChatGPT for a while now. I used to think AI was just about asking questions and getting answers. But after exploring the Kaggle AI Agents Intensive, I realized that the future of tech is much bigger than just "smart chatbots." What Changed My Mind? LLMs talk: They are great at predicting text and giving information. Agents act: They can actually do things. The concept that an AI can use "Tools"—like searching the web or running code—was really exciting to learn. It feels like giving the AI a pair of hands to interact with the digital world. The Logic Behind the Magic Looking Ahead This was a short but powerful learning experience. I can’t wait to learn more and eventually build my own agents!  ( 7 min )

/* ------------------------------------------------------------- ONE SINGLE EXECUTION – works in DBVisualizer / isql / any tool Shows rows from last 45 days for every table that has INTERNTIMESTAMP ------------------------------------------------------------- */ declare @sql nvarchar(8000) -- use nvarchar if your ASE supports it (15.7+) -- or varchar(8000) on very old versions select @sql = '' /* Build the big UNION ALL query */ select @sql = @sql + 'select ''' + o.name + ''' as table_name, count(*) as rows_last_45_days from ' + o.name + ' where INTERNTIMESTAMP >= dateadd(day, -45, getdate()) union all ' from sysobjects o where o.type = 'U' and exists (select 1 from syscolumns c where c.id = o.id and c.name = 'INTERNTIMESTAMP') order by o.name /* Safely remove the trailing ' union all ' – no negative length */ if len(@sql) > 11 select @sql = left(@sql, len(@sql) - 11) -- removes last 11 chars else select @sql = 'select ''No tables found'' as table_name, 0 as rows_last_45_days' /* Execute it */ exec(@sql) go  ( 6 min )

First: what is Notte? Simply put, Notte provides a platform to build and deploy web agents that don’t break. By turning complex and repetitive web tasks into reliable self-healing workflows, businesses can scale automation with confidence. Notte exists because the web is still designed for humans, not agents. Pure web agents can navigate it, but while they excel on benchmarks, they’re unreliable and costly in production. Traditional scripts are faster and cheaper, but a single website tweak can break them entirely. Notte’s answer is Hybrid Agent Workflows: freeze the routine into deterministic steps; reserve LLMs for when adaptive reasoning is required. If a page changes out of hours, your flow doesn’t wait on you to redeploy - the agent adapts at runtime and carries the task to completi…  ( 9 min )

declare @sql varchar(8000) select @sql = '' select @sql = @sql + 'select "'+name+'" , count(*) from '+name+ ' where INTERNTIMESTAMP >= dateadd(dd,-45,getdate()) union all ' from sysobjects where type='U' and exists (select 1 from syscolumns c where c.id=object_id(name) and c.name='INTERNTIMESTAMP') order by name -- remove the trailing ' union all ' select @sql = substring(@sql,1,len(@sql)-11) exec(@sql)  ( 6 min )

Over the last couple of years, fitness has become a huge part of my life. I lost 45 kilograms through training, daily cardio, eating better, and staying consistent with my supplements. And even though I was motivated, there was one simple thing I kept messing up: I couldn’t remember which supplements I had taken each day. Some mornings I’d double-dose my omega-3 without realizing. Some nights I’d remember I forgot my multivitamin. Some days I’d start creatine loading… and then completely forget the next day. It sounds small, but when you’re serious about your fitness, these details matter. And I hated the feeling of being inconsistent after working so hard. That’s how GymDose started — not as an app for the world, but as an app for me. I tried using habit trackers, to-do apps, reminder a…  ( 8 min )

Introduction — Why I Joined the Agents Intensive When I enrolled in the Kaggle AI Agents Intensive, I had one goal: As someone working at the intersection of data engineering and healthcare, I wanted to see whether agentic architectures could meaningfully improve clinical research, where slow evidence synthesis costs time, money, and sometimes lives. The answer turned out to be yes, and the Intensive course gave me the exact structure, concepts, and building blocks I needed. The Problem — Healthcare Research Overload Clinical researchers are drowning in papers. This creates four fundamental problems: Too much literature to scan manually 2.Fragmented tools (PubMed to PDFs to spreadsheets) 3.No structured memory across searches 4.No reproducibility when using typical LLM assistants Healthcar…  ( 8 min )

If you're a developer, you've seen generative AI everywhere. It can feel like a complex world of models and advanced concepts. It can be difficult to know where to actually start. The good news is that building your first AI-powered application is more accessible than you might imagine. You don't need to be an AI expert to get started. This post introduces a new codelab designed to bridge this gap and provide you with a first step. We'll guide you through the entire process of building a functional, interactive travel chatbot using Google's Gemini model. Dive into the codelab and build your first AI application today! In this codelab, you'll step into the role of a developer at a travel company tasked with building a new chat application. You'll start with a basic web application frontend …  ( 8 min )

You can now use a YouTube video as the cover for your post—meaning it will appear above the title and feature prominently in the feed. Just go to create a post via /new, click Cover Video Link, and paste the URL! While YouTube is the most popular video embed, we also support Twitch (permalinked videos, not channel links) and Mux! Mux is primarily video infrastructure for developers, so sharing a direct Mux link isn't the standard use case. However, as developers, we wanted to ensure it was an option! We have a Mux Challenge running right now, so feel free to use this new functionality for your entry. DEV's Worldwide Show and Tell Challenge Presented by Mux: Pitch Your Projects! $3,000 in Prizes. 🎥 Jess Lee for The DEV Team ・ Dec 3 #showdev #devchallenge #muxchallenge #webdev In addition to the editor, you can add one of these links via the video_source_url attribute in the API! DEV is built on Forem, so all things Forem immediately have access to this feature as well.  ( 7 min )

Software development is rarely a solo activity. Each developer brings skills, experience, and insights — but the true power of a team comes from how those contributions interact and amplify one another. When a team is aligned around shared design principles, domain understanding, and goals, the result is more than the sum of its parts: 1 + 1 can equal 3. Continuous Integration (CI) was originally designed to support that kind of teamwork. By integrating code frequently, running automated tests, and catching issues early, it allowed developers to collaborate confidently without stepping on each other’s work. Over time, however, the industry’s use of merge requests, quality gates, and strict CI pipelines drifted from enabling collaboration to enforcing compliance. CI became a mechanism to in…  ( 10 min )

I’m not sure what’s keeping me alive anymore Coding is wild… Between bugs, breakpoints, and bursts of motivation, But here I am, still building, still learning, This is my little reminder: everything looks tough until it clicks. And when it finally does… it feels worth it.  ( 6 min )

-- Test just ONE table to see if anything works -- Replace 'YOUR_TABLE' with an actual table name from your 45 columns SELECT 'Test on: ' || table_name as test, (SELECT COUNT(*) FROM user_tables WHERE table_name = 'YOUR_TABLE') as stats_count, (SELECT COUNT(*) FROM "YOUR_TABLE") as actual_count, (SELECT COUNT(*) FROM "YOUR_TABLE" WHERE INTERNTIMESTAMP >= SYSDATE - 45) as recent_count, (SELECT MIN(INTERNTIMESTAMP) FROM "YOUR_TABLE") as oldest, (SELECT MAX(INTERNTIMESTAMP) FROM "YOUR_TABLE") as newest FROM DUAL;  ( 6 min )

I have an app on Railway that uses SQLite, and for a while I was manually SSHing into my project to query data whenever I needed it locally. What started as occasional checks became a daily interruption. When I decided to automate this with GitHub Actions, I expected a quick win, but I discovered that what worked on my local machine failed in CI. Even my favorite AI tools, goose and Claude Code, couldn't quite figure it out. They claimed the issues I encountered were underdocumented. After more time than I'd like to admit, here's what I learned. I chose SQLite because it was lightweight and I only needed it temporarily, but Railway doesn't expose SQLite databases to the internet (which is good). Unlike Postgres or MySQL, there's no connection string or public endpoint, so the database file…  ( 8 min )

-- First, verify the column exists in your schema SELECT table_name, column_name, data_type FROM user_tab_columns WHERE UPPER(column_name) LIKE '%INTERNTIMESTAMP%' ORDER BY table_name;  ( 5 min )

Disclaimer: this article shows my opinion and is not intended to be an absolute truth. During my short career, I saw countless times a developer picking at the code and yelling or mumbling to himself "what a shitty code". We all have gone through it, me the first. Even Robert C. Martin considered it as a metric of "bad code" in the book Clean Code ! Apart from the disappointment, this expression brings no constructive value: no explanation, no will to help your colleague be a better professional and is pure judgment. Moreover, it is also a dangerous expression because it can bring tension in the team. How your colleague would react if you say that to the code he just wrote ? Even if we look for less ego in our sector, no one would be happy to hear that. Even if you are in the perfect te…  ( 9 min )

Olá, sou William Líder de squad na InnSpire.dev, quero começar a escrever sobre minhas experiencias no mundo da tecnologia, já que são mais de 20 anos trabalhando nessa area, quero compartilhar meus conhecimentos, sim, um pouco tarde para isso, mas como dizem: antes tarde do que mais tarde ainda. E escolhi começar com uma das ferramentas que mais me deu dor de cabeça — e também as maiores vitórias: Jenkins. Já perdi dados, já quebrei pipelines, já fiquei até de madrugada resolvendo build travado… mas hoje tenho uma infraestrutura estável, barata e eficiente rodando na AWS. Neste artigo, quero mostrar como estruturamos Jenkins + Docker + AWS e talvez te dar alguns insights para montar algo parecido. Bom vamos lá, atualmente nosso servidor está dentro da AWS, na região da Virginia, é uma ins…  ( 7 min )

Anthropic didn't just buy a fast JavaScript runtime. They bought the one missing piece that turns Claude Code from a clever tool into a full-stack engine for how software will be built in the next decade. Yes, it's true. It's about control of the runtime layer at the exact moment AI agents begin writing, testing and shipping most of the world's code. Let's get straight to the point. Anthropic acquired Bun because Claude Code hit a billion dollars in revenue in six months but depended on a runtime they didn't control. Bun needed Anthropic because despite 7 million monthly downloads, it made zero revenue. This deal creates agent-native infrastructure where AI agents write code using a fast, single-binary runtime, fundamentally changing how software is built. Anthropic now controls both the r…  ( 10 min )

The Silent Killer of Developer Productivity As a developer, I know the frustration of waiting for a build. You push your code and instead of just looking at the screen, I switch to another task, lose context, and by the time the CI pipeline finishes, you've forgotten what you were working on. In my customer's case, this frustration had a very specific 30 minutes per build, mostly spent downloading Maven dependencies. Their setup wasn't unusual. They had GitHub Actions self-hosted runners spinning up on Amazon EKS for each triggered CI job. These runners needed Maven packages stored in their on-premises Nexus repository, connected via VPN. The architecture made sense on paper—until they measured the actual latency impact. The math was crystal clear. With dozens of developers triggering h…  ( 11 min )

Advertisers today pay an invisible 50% "AdTech Tax" on every dollar spent. For every $100 you put into programmatic advertising, less than $50 actually reaches the publisher. The rest is devoured by a murky supply chain of DSPs, SSPs, and data fees. For D2C brands operating on razor-thin margins, this inefficiency is a silent killer. The Core Concept: Traditional AdTech strategies focused heavily on media buying efficiency—bidding cheaper and targeting better. In 2025, with privacy regulations (GDPR, CCPA) and signal loss (cookie deprecation), the leverage has shifted. The new AdTech strategy is Creative Utility: using AI to generate high-volume, high-relevance ad creatives that lower CPA through engagement rather than just bidding mechanics. The Strategy: Successful D2C brands are moving …  ( 12 min )

The Problem We're Solving Let's be honest - mobile apps need to work offline. House hunters are going to be in basements, on subways, or in areas with terrible WiFi. They'll want to add house listings or take notes during open home viewings, and they shouldn't have to wait for a network connection. So how do we build an app that works seamlessly offline, but also syncs everything back to the server when connectivity returns? That's what we're diving into in my new app "MyNextHome". Our house hunting app has three main pieces: HousesContext - The brain that manages all the houses and handles syncing Add/Edit Form - Where users create new listings House Details Screen - Where users take notes on each house Everything is stored locally first (using AsyncStorage), then synced to the server w…  ( 9 min )

SET SERVEROUTPUT ON SET LINESIZE 200 BEGIN DBMS_OUTPUT.PUT_LINE(RPAD('TABLE_NAME',40) || RPAD('ROWS_LAST_45_DAYS',20) || 'TOTAL_ROWS (approx) %'); DBMS_OUTPUT.PUT_LINE(LPAD('-',100,'-')); FOR r IN ( SELECT table_name FROM user_tab_columns WHERE column_name = 'INTERNTIMESTAMP' AND data_type LIKE 'TIMESTAMP%' ORDER BY table_name ) LOOP DECLARE v_cnt NUMBER := 0; v_total NUMBER := 0; BEGIN EXECUTE IMMEDIATE 'SELECT COUNT(*) FROM "' || r.table_name || '" WHERE INTERNTIMESTAMP >= SYSDATE - 45' INTO v_cnt; SELECT num_rows INTO v_total FROM user_tables WHERE table_name = r.table_name; DBMS_OUTPUT.PUT_LINE( RPAD(r.table_name,39) || ' ' || LPAD(TO_CHAR(v_cnt,'99999999999'),18) || ' ' || LPAD(TO_CHAR(NVL(v_total,0),'99999999999'),18) || ' ' || ROUND(v_cnt/GREATEST(v_total,1)*100,2) || '%' ); EXCEPTION WHEN OTHERS THEN DBMS_OUTPUT.PUT_LINE(r.table_name || ' → ERROR: ' || SQLERRM); END; END LOOP; END; /  ( 6 min )

Learn how you can use Gadget as an auto-scaling backend and database for mobile apps built in Swift. In the past, only web developers used Gadget's infra and benefited from the smooth developer experience. Swift developers are getting wise to the productivity gains. The Swifties are beginning to join the revolution and do double the work in half the time with the Gadget platform. In this little walk-through, we'll use Gadget to spin up a database and API in minutes. Then we'll get a Swift app to talk to the Gadget backend using auto-generated code from the Apollo iOS package. The Swift app we'll be building is a pushup tracking app. Users can log pushups, and see a graph of how many pushups they've done in a week. Gadget has a web-based editor like Replit, but you can also use the fram…  ( 12 min )

Como é feito a limpeza de dados, usando a poderosa biblioteca pandas? A limpeza de dados (data cleaning) é uma das etapas mais importantes na análise de dados, e o Pandas, biblioteca poderosa do Python, oferece diversas ferramentas para isso. Existem N fontes possíveis de dados, como Excel, CSV, SQL, JSON, entre outras. Para facilitar o aprendizado, hoje vamos trabalhar com arquivos Excel, que é mais simples e básico. import pandas as pd df = df.read_excel("nome_planilha.xlsx") // muito comum esquecermos da extensão. df = df.dropna(how="all") df = df.drop_duplicates() df = df.dropna() print(df.columns.tolist()) df = df.rename(columns={ "Valor Total": "valor_total", "Data da Venda": "data_venda" }) df["nome_da_coluna"] df[["nome_da_coluna", "coluna_tal"]] df = df.sort_values(by="nome_da_coluna", ascending=False) df = df.sort_values(by=["Data", "Valor"], ascending=[True, False]) Conjuntos de dados incompletos são extremamente comuns, seja ela uma planilha, banco de dados, etc, sempre vai haver, nomes incompletos, duplicidades, erros de digitações, e por isso temos ao nosso favor essa limpeza de dados, geramos qualidade, confiança e organização... Vem a exploração, transformação, análise, visualização de dados, relatório de métricas, e por último, a tomada de decisão. Documentação do pandas: https://pandas.pydata.org/docs/  ( 6 min )

Introduction: The New Frontier of Product Ownership Suzanne Alipourian-Frascogna emphasizes, “If you own the product, you own the threat model too.” This shift reflects a broader reality: cybersecurity is now inseparable from product ownership. This article explores how product managers can strengthen digital ecosystems by integrating security principles directly into product strategy. When PMs take the lead on cybersecurity, the result is not only safer products but more scalable and trusted ones. Traditional development processes often treat cybersecurity as something to evaluate near the end—an item on a pre-launch checklist or a concern revisited only after a breach. This reactive approach is costly, inefficient, and dangerous in a world where threats evolve continuously. According to …  ( 9 min )

-- Just copy-paste all of this into SQL*Plus and press Enter twice at the end SET SERVEROUTPUT ON SET LINESIZE 200 BEGIN DBMS_OUTPUT.PUT_LINE(RPAD('TABLE_NAME',40) || RPAD('ROWS_LAST_45_DAYS',20) || 'TOTAL_ROWS (approx) %'); DBMS_OUTPUT.PUT_LINE(LPAD('-',100,'-')); FOR r IN ( SELECT table_name FROM user_tab_columns WHERE column_name = 'INTERNTIMESTAMP' AND data_type LIKE 'TIMESTAMP%' ORDER BY table_name ) LOOP DECLARE v_cnt NUMBER := 0; v_total NUMBER := 0; BEGIN EXECUTE IMMEDIATE 'SELECT COUNT(*) FROM "' || r.table_name || '" WHERE INTERNTIMESTAMP >= SYSDATE - 45' INTO v_cnt; SELECT num_rows INTO v_total FROM user_tables WHERE table_name = r.table_name; DBMS_OUTPUT.PUT_LINE( RPAD(r.table_name,39) || ' ' || LPAD(TO_CHAR(v_cnt,'99999999999'),18) || ' ' || LPAD(TO_CHAR(NVL(v_total,0),'99999999999'),18) || ' ' || ROUND(v_cnt/GREATEST(v_total,1)*100,2) || '%' ); EXCEPTION WHEN OTHERS THEN DBMS_OUTPUT.PUT_LINE(r.table_name || ' → ERROR: ' || SQLERRM); END; END LOOP; END; /  ( 6 min )

As a designer working on a Mac, I’ve always felt like the odd one out when it comes to remote USB access tools. Most of the well-known utilities I tried in the past were focused almost entirely on Windows — including the one I used for years from usb-over-ethernet When I switched my main workstation to macOS, that old software basically became useless. It didn’t receive updates anymore, support disappeared, and on top of that, my Linux render nodes still had no way to access my input devices remotely. At some point I started searching for alternatives and eventually came across USB Network Gate. I wasn’t expecting much, but it turned out to be one of the few options that actually works across different operating systems without strange workarounds. Right now, I can connect my 3D mouse or Wacom tablet to my Mac and let my Linux workstation pick it up over the local network. Nothing fancy — it just shows up and works, even though the systems are different. For my setup, that was exactly what I needed. If anything changes or I run into new issues, I’ll update this post. And if anyone knows of any other working alternatives for macOS + Linux, I'd be happy to try them and share my impressions later.  ( 6 min )

-- One-time script – just paste and run in SQL*Plus (or SQL Developer) SET LINESIZE 200 SET PAGESIZE 1000 SET SERVEROUTPUT ON COLUMN table_name FORMAT A40 COLUMN rows_last_45 FORMAT 99999999999 COLUMN total_rows FORMAT 99999999999 COLUMN pct FORMAT 990.99 BEGIN DBMS_OUTPUT.PUT_LINE( RPAD('TABLE_NAME',41) || RPAD('ROWS_LAST_45_DAYS',20) || RPAD('TOTAL_ROWS (approx)',22) || '% OF TOTAL' ); DBMS_OUTPUT.PUT_LINE( LPAD('-',110,'-') ); FOR r IN ( SELECT table_name FROM user_tab_columns WHERE column_name = 'INTERNTIMESTAMP' AND data_type LIKE 'TIMESTAMP%' ORDER BY table_name ) LOOP DECLARE v_cnt NUMBER := 0; v_total NUMBER := 0; BEGIN -- Exact count of rows from the last 45 days EXECUTE IMMEDIATE 'SELECT COUNT(*) FROM ' || r.table_name || ' WHERE INTERNTIMESTAMP >= SYSDATE - 45' INTO v_cnt; -- Approximate total rows from statistics (very fast) SELECT num_rows INTO v_total FROM user_tables WHERE table_name = r.table_name; -- Print result DBMS_OUTPUT.PUT_LINE( RPAD(r.table_name, 40) || TO_CHAR(v_cnt, '999,999,999,999') || ' ' || TO_CHAR(NVL(v_total,0), '999,999,999,999') || ' ' || TO_CHAR(ROUND(v_cnt / GREATEST(v_total,1) * 100, 2), '9990.99') || '%' ); EXCEPTION WHEN OTHERS THEN DBMS_OUTPUT.PUT_LINE(r.table_name || ' → error: ' || SQLERRM); END; END LOOP; END; /  ( 6 min )

We are currently witnessing a fragmentation crisis in the AI ecosystem. You have your Logic Layer (the LLM—Claude, GPT-4, Gemini), your Interface Layer (Cursor, Windsurf, Claude Desktop, n8n), and your Data Layer (Postgres, local files, internal APIs, Slack, GitHub). Until recently, connecting these layers required a brute-force approach. If you wanted your LLM to access a database, you wrote a specific function call. If you switched from OpenAI to Anthropic, or from a Python script to a visual builder like Flowise, you often had to rewrite the integration logic. We have been treating LLMs like isolated processors, manually soldering wires to every peripheral device we want them to touch. The Model Context Protocol (MCP) changes this paradigm entirely. It is the architectural equivalent of…  ( 12 min )

The Problem Imagine you're building a search feature for a list of 2,000 products. Every time a user types a letter, your app filters the entire list and re-renders it. What happens? The input lags. The user's typing feels sluggish and frustrating. This is a common problem when dealing with heavy updates in React. What if we could tell React: "Hey, updating this list is important, but keeping the input smooth is MORE important"? That's exactly what useTransition does. useTransition is a React hook (introduced in React 18) that lets you mark certain updates as non-urgent. This means React can prioritize user interactions (like typing) over heavy rendering tasks (like filtering a huge list). const [isPending, startTransition] = useTransition(); startTransition: A function that wraps non-u…  ( 8 min )

Coaching Tips, Overcoming Adversity, and the Art of Growth This article explores how his methodology helps leaders enhance their coaching abilities, turn challenges into catalysts for development, and cultivate self-mastery as the engine of long-term effectiveness. 1. Coaching as a Foundation of Modern Leadership Listening Beyond the Surface Effective coaching begins with listening—true listening. Many leaders hear only enough to prepare a response, but transformative coaching requires listening to understand. This deeper form of attention creates trust, uncovers assumptions, and gives people permission to speak honestly. It also allows leaders to fully grasp the context before offering direction, reducing misunderstandings and improving decision-making. Asking Questions That Unlock Insigh…  ( 12 min )

This guide shows how to add two production-ready shortcodes to Eleventy (ESM): a responsive image helper using @11ty/eleventy-img and an inline SVG helper that lets you inject CSS classes. Here’s the final output generated in the DOM (fully handled by the shortcode): Follow these steps to get ready-to-use shortcodes in minutes: Install dependency npm i @11ty/eleventy-img Create the shortcodes module at eleventy/shortcodes/media.js (see below) Register it in eleventy.config.js and rebuild Use {% image %} for responsive images and {% svg %} for i…  ( 8 min )

Nobody likes the generic browser's error page — the kind that instantly breaks immersion and reminds users they’re looking at an unfinished feature. The good news? Django makes it surprisingly easy to replace those defaults with pages that feel polished and intentional. This post walks through two practical methods: Template-only overrides (drop in a file and you’re done) Fully custom error handlers (your own views, logic, and folder structure) 1. Template‑Only Overrides (the quickest improvement) Django has built‑in views for common HTTP errors: 404 — Page Not Found 500 — Server Error 403 — Permission Denied 400 — Bad Request These views are located at: django.views.defaults When these views run, they automatically try to load templates named exactly: 404.html 500.html …  ( 7 min )

Hello, I'm Maneshwar. I'm working on FreeDevTools online currently building **one place for all dev tools, cheat codes, and TLDRs* — a free, open-source hub where developers can quickly find and use tools without any hassle of searching all over the internet.* When a database needs to search, insert, or update records quickly, it relies on index structures. The B-Tree has been the standard index used by storage engines such as InnoDB (MySQL), SQLite, PostgreSQL (for many workloads), and countless embedded systems. How B-Trees Work A B-Tree organizes records in sorted order and splits data into pages, which are fixed-size blocks of storage. A page is the smallest unit of reading and writing between memory and disk. Typical page sizes: 4 KB or 8 KB (aligned with SSD block size) When you …  ( 8 min )

If you’re planning to build an online store with WordPress, WooCommerce is the easiest and most powerful way to start. But after installing it, the biggest confusion is always the same: “Which WooCommerce settings should I configure first?” In this guide, I’ll break down every important WooCommerce setting in a simple, real-world way — no complex jargon, just pure practicality. Let’s make your store ready for real customers. 1. General Settings – Your Store Identity This is where you set your shop’s basic information. Key options to configure: Store address → City, state, country Currency → INR, USD, etc. Thousand/Decimal separators → 1,000.00 or 1.000,00 Enable taxes if needed If your store location or currency is wrong, your entire checkout experience gets messed up. So set this carefu…  ( 7 min )

This article was reviewed and approved by MongoDB and was originally published in foojay.io and Delbridge Solutions. Imagine we are responsible for managing the MongoDB cluster that supports our country's national financial payment system, similar to Pix in Brazil. Our application was designed to be read-heavy, with one write operation for every 20 read operations. With Black Friday approaching, a critical period for our national financial payment system, we have been entrusted with the crucial task of creating a scaling plan for our cluster to handle the increased demand during this shopping spree. Given that our system is read-heavy, we are exploring ways to enhance the read performance and capacity of our cluster. We're in charge of the national financial payment system that powers a st…  ( 10 min )

well hello again to everyone reading this! hope you've all been doing well since the last time we have talked firstly, I learned that composition is really useful in terms of godot and how to handle similar things without doing much work When I do get through this hurdle, I will update you all in the next post Until then, as always, take care of yourself, be good to one another, and I'll see you all again soon!  ( 6 min )

Why Toronto's Symphony Scene is the Mental Health Prescription You Didn't Know You Needed Adnan Obuz AI Strategy Consultant | Digital Transformation Expert ・ Dec 2 #edwardobuz #mentalhealth  ( 5 min )

If you’ve ever worked with LLMs in real applications — especially with LangChain + TypeScript — you probably know the frustration: Broken JSON Extra text wrapped around JSON Random “creative” outputs Parsers blowing up in production I’ve personally gone through it all. Next.js, LangChain, Supabase Vector Store, Pusher, and more — I tried every prompt trick to force LLMs to follow a strict JSON structure. I told the model: “Return valid JSON only.” I added strict instructions. Nothing worked reliably. Prompts alone can never guarantee valid JSON. LLMs aren’t designed to obey formatting rules consistently. 2025, the solution finally became production-ready: The Fix: LangChain .withStructuredOutput() + Zod This combination forces the model to return: 100% valid JSON Fully typed data Schema-safe responses No extra text No formatting issues And the best part? Google Gemini OpenAI (GPT-4o, o-mini) Groq (Llama 3.1) Anthropic Claude 👉 How .withStructuredOutput() works internally Next.js 16 + TypeScript implementation shadcn/ui This guide is for anyone building AI-powered apps — chatbots, agents, extractors, RAG systems — where structure matters. Read the full guide: How to Force Perfect JSON Responses in LangChain with TypeScript (2025 Edition) About the Author Arfatur Rahman — Full Stack Developer from Chittagong, Bangladesh. Next.js, TypeScript, LangChain, Supabase, Pusher, and Google Gemini. Follow me for more guides on AI, LangChain, and modern web development.  ( 7 min )

Students and lifelong learners — struggling to keep up with lectures, assignments, or research? There’s a set of AI tools for students that can make your workflow smarter and faster. Tools like Mem.ai help organize notes, Perplexity.ai provides concise research answers, Recall.ai summarizes video lectures, Explainpaper.com simplifies dense papers, and Notion AI helps you plan and draft work efficiently. These tools are free to start, integrate easily into your daily workflow, and save hours of manual effort. Whether you’re coding projects, preparing research, or just trying to stay organized, adding AI to your study routine is a game-changer. Check out our full guide to discover how these hidden AI tools can transform the way you learn. Detail Review: https://napnox.com/ai-tools/secret-ai-tools-for-students/  ( 6 min )

Why I Built Endpoint: A Postman Alternative That Actually Understands Developers As a developer, I've spent countless hours testing APIs. Postman is popular, but it often falls short for real-world development workflows. Missing WebSocket support, slow performance, and a clunky interface led me to build something better. Endpoint is a native macOS API testing tool designed with developer experience in mind. It's not just another Postman clone—it's a tool that addresses the gaps developers face daily. Native WebSocket Support (Out of the Box) Most API testing tools treat WebSockets as an afterthought. Endpoint includes WebSocket support: Real-time connection management Message history with timestamps JSON formatting for WebSocket messages Connection state visualization Send/receive mess…  ( 8 min )

I know how devs building web apps often need to embed dashboards and are looking for ones that are easy to integrate and include interactivity. Something else to consider is low-cost scalability, meaning low resource costs. Serverless apps are the answer. One of them is called StyleBI, and you can embed interactive dashboards directly into your React app, enforce row-level security per user, and scale elastically without managing servers or paying for instances when no one is using the dashboards. It connects seamlessly to common data sources like AWS, Postgres, or Snowflake, giving your users real-time insights while keeping operational overhead low. Here’s a simple example of embedding: `import React from "react"; const Dashboard = () => { export default Dashboard; ` The idea is that with serverless BI you can focus on building features and delivering insights rather than managing infrastructure or wasting money. There is an open source version on GitHub.  ( 6 min )

This is a submission for the AI Challenge for Cross-Platform Apps - AI Acceleration I built a professional news aggregation application that demonstrates the power of AI-assisted development with Uno Platform. The app fetches and displays articles from multiple RSS feeds (New York Times, BBC News) with a beautiful Material Design 3 interface. Key Features: Dynamic news feed with 9 category filters (Technology, Business, Sports, etc.) Real-time search with 300ms debouncing Bookmark system with local persistence Full article detail view with browser integration Light/Dark theme support Responsive grid layout adapting from mobile to desktop API Used: RSS feeds from New York Times and BBC News (RSS 2.0 and Atom formats) Problem Solved: Users need a unified, elegant interface to browse news fro…  ( 10 min )

Sales teams waste hours every day jumping between Slack, email, and their CRM just to figure out what happened with a deal. Who talked to the client last? What did they say? The context is scattered everywhere. Apollo.io solved this by making its CRM truly collaborative. Sales reps can see exactly who's working on what, leave contextual comments right on deal records, and get notified when something important happens. No more hunting for information or stepping on each other's toes. The thing is, building real-time collaboration isn't simple. You need websockets for live updates, user presence systems, comment threading, and notifications that actually work. That's where Velt comes in. It handles all the collaborative complexity so you can focus on your features. In this tutorial, you'll l…  ( 19 min )

Table of Contents 1. Recap of Week 4 2. What Are Output Values in Terraform ? 3. Why Are They Useful and Where Do I Use Them ? 4. Adding Outputs to Our Configuration 5. Common Output Pitfalls and Tips 6. Deploy to Azure 7. Wrap-Up 1. Recap of Week 4 We created inbound security rules to control access to the VM and attached the NSG to the network interface to enforce those rules. We also used dynamic blocks to keep our configuration clean and avoid repeating ourselves when defining multiple security rules. If you missed Week 4, you can check it out the full post here. This week, we’ll shift our focus to output values and learn how to expose useful information from our Terraform deployments. For this week's .tf files, you can access them here. 2. What Are Output Values in Terraform ? Output …  ( 10 min )

Automated testing has become a core practice in modern software development. Today, testing doesn’t just happen on a local machine—it is integrated directly into Continuous Integration (CI/CD) pipelines, ensuring every code change is validated before reaching production. In this article, we explore and compare three widely used testing management tools within CI/CD environments: GitHub Actions, GitLab CI/CD, and Jenkins. Each one includes a real-world pipeline example so you can understand how test automation works in practice. Automated test executions help teams: Prevent bugs before merging code Detect regressions quickly Standardize test execution across environments Improve software reliability and delivery speed Reduce manual testing overhead Today’s development workflows exp…  ( 7 min )

🧪 API Testing with Postman and Newman Testing APIs has become an essential part of modern software development. Before connecting the backend with the user interface, we need to make sure every endpoint behaves as expected — returning the correct data, handling errors properly, and performing under different conditions. In this guide, we’ll explore how to apply Postman and Newman to automate API testing through a simple and realistic example. APIs are like bridges between different systems. When one part of an app sends a request, the API is responsible for sending the correct response back. If something fails here, the entire application can break. API testing ensures that: Each endpoint returns the right HTTP status code. The JSON data structure is consistent. Response times st…  ( 8 min )

#!/bin/bash # Ensure we're inside a git repo if ! git rev-parse --git-dir >/dev/null 2>&1; then echo "Not a git repository." exit 1 fi # Basic info TOP=$(git rev-parse --show-toplevel) REPO_NAME=$(basename "$TOP") CURRENT_BRANCH=$(git branch --show-current) REMOTE_URL=$(git remote get-url origin 2>/dev/null) # Parse Bitbucket owner + repo if [[ "$REMOTE_URL" =~ bitbucket\.org/([^/]+)/([^\.]+) ]]; then BB_OWNER="${BASH_REMATCH[1]}" BB_REPO="${BASH_REMATCH[2]}" else BB_OWNER="N/A" BB_REPO="N/A" fi # Default remote branch DEFAULT_REMOTE=$(git symbolic-ref refs/remotes/origin/HEAD 2>/dev/null | sed 's#^.*/##') # Remote branches REMOTE_BRANCHES=$(git ls-remote --heads origin 2>/dev/null | awk '{print $2}' | sed 's#refs/heads/##') # Remote tags REMOTE_TAGS=$(git ls-remote --tags origin 2>/dev/null | awk '{print $2}' | sed 's#refs/tags/##') echo "" echo "===== Git / Bitbucket Repo Info =====" echo "Local repo name: $REPO_NAME" echo "Local path: $TOP" echo "Current branch: $CURRENT_BRANCH" echo "Remote URL: $REMOTE_URL" echo "Bitbucket team: $BB_OWNER" echo "Bitbucket repo: $BB_REPO" echo "Default branch: ${DEFAULT_REMOTE:-N/A}" echo "" echo "---- Remote Branches ----" echo "$REMOTE_BRANCHES" echo "" echo "---- Remote Tags ----" echo "$REMOTE_TAGS" echo "======================================"  ( 6 min )

Introduction Terraform provides a powerful configuration language that allows you to build reusable, scalable, and environment-aware infrastructure. Three of the most useful features within Terraform’s expression system are conditional expressions, dynamic blocks, and splat expressions. Understanding these three concepts helps you write cleaner, more flexible code while avoiding duplication and complexity. This blog explains each expression in detail, including when to use them, when not to use them, and how they work together. Conditional expressions return one of two values depending on whether a given condition is true or false. condition ? true_value : false_value If the condition is true, the first value is returned. If the condition is false, the second value is returned. Similar …  ( 8 min )

A practical guide to observability TCO and cost reduction Zenith AI Labs ・ Dec 3 #observability #sre #clickhouse #devops  ( 6 min )

echo "Repo: $(basename `git rev-parse --show-toplevel`)" echo "Branch: $(git branch --show-current)" echo "Remote: $(git remote get-url origin)"  ( 5 min )

🎊 Announcement: Try our performance models for free, P-image and P-image-Edit, here. Just 1 second without compromising the quality! Generating high-quality visuals with state-of-the-art models is becoming increasingly accessible. Open-source models run on laptops, and cloud services turn text into images in seconds. These models are already reshaping industries like advertising, gaming, fashion, and science. But creating images is the easy part. Judging their quality is much harder. Human feedback is slow, expensive, biased, and often inconsistent. Plus, quality has many faces: creativity, realism, and style don’t always align. Improving one can hurt another. That’s why we need clear, objective metrics that capture quality, coherence, and originality. We’ll explore methods for evaluating…  ( 13 min )

For many engineering leaders, the observability bill has become one of the largest infrastructure expenses. OpenAI reportedly spends $170 million annually on Datadog alone. While most companies aren't operating at OpenAI's scale, teams consistently report that observability tools consume a significant portion of their total cloud spend, and the trend only goes in one direction: up. The root cause? SaaS platforms charge per gigabyte ingested, per host monitored, or per high-cardinality metric tracked. The more visibility you need, the more you pay. You're stuck choosing between understanding your systems and staying within budget. This model prevents you from being able to “send everything.” You can break this cycle by changing how you pay for observability. Instead of variable costs tied t…  ( 15 min )

When you start out learning object-oriented programming (OOP) in Python, inheritance feels like the obvious way to reuse code. You build a base class, extend it, and reuse its behavior. But as your software grows, you might start noticing that inheritance introduces tight coupling, rigid structures, and eventually... a mess. This post is about why composition is often a better choice than inheritance in large-scale Python systems, especially when you're building backend applications. We’ll start from the basics, then go into real-life backend scenarios to show how composition can help you write cleaner, more maintainable code. Inheritance means creating a new class that is a type of another class. It forms an "is-a" relationship. The child class (subclass) automatically gets the properties…  ( 9 min )

As developers, we spend our days solving complex problems. But somehow, the simplest tasks still break our flow: "What's 150 EUR in USD?" → Open Google "What time is it in Tokyo right now?" → Check world clock "When is 45 days from today?" → Open calendar, count manually "What's 18% tip on $85?" → Pull out phone calculator Every tab switch is a context switch. Every context switch costs focus. I kept thinking: why can't I just type what I'm thinking and get the answer? Most calculators are built for numbers, not questions. You can't type $150 + 20% tax into a standard calculator. You have to: Type 150 Multiply by 0.20 Add the result to 150 Remember what you were doing before And for currency? Time zones? Date math? Forget it. Those need separate apps entirely. That's the idea behind Octa —…  ( 8 min )

The breakthrough: Adding IndexedFaceSet support to parse vertices and face indices into THREE.js BufferGeometry. Kiro helped me: Debug the nested brace matching issue Build custom A-Frame geometry components Fix React re-render conflicts with A-Frame registration From "everything is a teal cube" → actual colored 3D shapes ✨ @kirodotdev  ( 6 min )

Let me guess: you've already read three articles this week about "optimizing for AI search" that basically said "just write good content" and called it a day. Right up there with "be yourself" as actionable advice. Here's the thing nobody's saying clearly enough: ChatGPT Search isn't Google with a chatbot interface. The ranking factors are different. The user behavior is different. The entire game changed, and most of us are still playing by the old rules. I've spent the last six months testing what actually gets cited in AI-generated answers versus what gets buried. The results surprised me. Some traditional SEO tactics still matter. Others? Completely irrelevant. And there are entirely new factors that didn't exist in the Google playbook. ChatGPT Search hit 10 million users faster than I…  ( 11 min )

Technical AI in Advertisement Challenge: "Dynamic Ad Placement with Contextual Relevance" The goal of this challenge is to design an AI system that can optimize the placement of advertisements within a dynamic, interactive, and personalized advertisement environment. Constraints: Ad Contextual Relevance: The AI system must consider the user's past browsing history, current webpage content, and real-time search queries to determine the most relevant advertisement to display. Multiple Ad Platforms: The AI system must be able to integrate with multiple ad platforms, such as Google Ads, Facebook Ads, and OpenX. User Experience: The AI system must prioritize the user's experience by avoiding repetitive or intrusive advertisements and ensuring a smooth browsing experience. Real-time Processing: …  ( 7 min )

A hands-on comparison with real output snippets. If you read the previous post, you already have a general view of how Codex and Claude Code differ in approach. Now it's time to put them into a real scenario, same problem, two solutions. We asked both models to solve a simple but layered task: Given a JSON list of users, return only the ones with "active": true This is what happened. ## Codex Output — Fast, Direct, Minimal Structure Codex responded quickly and generated a working implementation: import json def get_active_users(data): users = json.loads(data) active = [u for u in users if u.get("active")] result = "" for u in active: result += f"{u['name']} - {u['email']}\n" return result # Example usage data = '[{"name": "Ana","email": "ana@mail.com","activ…  ( 7 min )

A slow retrospective on a season of writing, and the quiet transition now opening between fatigue, clarity, and the return to earth. Some life chapters end without a final scene. No slammed door, no staged farewell, no single sentence that closes the book. They finish the way dusk finishes: a slow dilution of light, almost unnoticed, until you realise the room has changed colour. This text is that kind of dusk. It records the suspension — not the death — of a cycle I never scheduled: three months during which writing became as involuntary as breathing, and twenty essays arrived the way dreams arrive, uninvited but insistent. Today the tide has withdrawn. To understand where it went, I have to retrace how it arrived. I came to dev.to without a plan, a metric, or a slogan. I carried onl…  ( 11 min )

Today marks the Day 10 of 30 Days of Terraform challenge and in this blog, we will deep dive into the Terraform Conditional Expressions, Dynamic Blocks and Splat Expressions. Terraform Expressions are something that helps us to avoid writing the code again and again. You can think this of a replacement or similar to functions in programming language. There are mainly 3 types of Expressions in Terrform such as Conditional Expressions, Dynamic Blocks and Splat Expressions Conditional Expressions as the name indicates evaluates a condition and returns one of two values based on whether the condition is true or false. Syntax condition ? true_value : false_value In the above conditional expression: ✅ Choose instance types based on environment (dev vs prod) ✅ Single configuration for multiple…  ( 10 min )

Stream released support for Google's new Gemini 3 models inside Vision Agents — the open-source Python framework for building real-time voice and video AI applications. In this 3-minute video demo, you'll see how to spin up a fully functional vision-enabled voice agent that can see your screen (or webcam), reason with Gemini 3 Pro Preview, and talk back to you naturally, all in pure Python. Install Vision Agents + the new Gemini plugin Use gemini-3-pro-preview as your LLM with a single line Build a live video-call agent that can see and describe anything on your screen in real time Customize reasoning depth (low/high thinking level) Get Started in 60 Seconds 1. Create a fresh project (we recommend uv). # Initialize a new Python project uv init # Activate your environm…  ( 8 min )

Introduction In today’s data-driven business environment, accurate data is the foundation of sound decision-making. For many organizations, big and small, Microsoft Excel remains one of the most widely used tools for data processing, analysis, and reporting. When properly used, Excel helps standardize data, automate calculations, and provide checks that reduce manual mistakes, playing a crucial role in improving data accuracy and minimizing costly business errors. This makes Excel not just a tool for organizing rows and columns, but a strategic asset for reliable information management. The Challenge: How Common Are Errors Without Good Practice Despite its ubiquity, Excel also has a reputation for being error-prone when misused. Recent research showed that about 94% of spreadsheets use…  ( 9 min )

I Created S3 Buckets Using ArgoCD , ACK with EKS Capabilities—No Controllers Installed. Jatin Mehrotra for AWS Community Builders ・ Dec 1 #aws #kubernetes #eks #reinvent2025  ( 6 min )

A post by SS  ( 6 min )

In advance I want to say: I won't sell you a bootcamp, I won't send you to a Udemy course and I don't guarantee anything. I just want to share my story with you 🥲, as I believe many people are struggling to get "DevOps" or "Developer" job in this market. The year is 2019. I was to just graduate from a university with a Master of Engineering degree in Computer Science. With this on my resume, three years of experience at Intel (although as an intern 😅) and published apps for Android with a modest ad revenue, I went into the job hunting spree. Checkboxes: ✅ Bachelor's degree, Master's is just a formality, ✅ 3 years of experience in Big Tech, ✅ Some Python experience from the above, ✅ Java experience from Android, ✅ Some PHP websites I built in high school as "the next Facebook", ✅ Entrepre…  ( 12 min )

AttributeError: 'int' object has no attribute 'title' in python This error means you’re calling the string method .title on a value that is actually an int, not a str. In other words, somewhere a variable you expect to be text holds a number instead. Variable shadowing. A name you used for a string earlier was reassigned to an integer, so later obj.title tries to run on an int. For example: name = "alice"; name = 5; name.title() → error. This commonly happens when reusing names like file, time, or data for different types at different points of the code. Wrong data shape. You indexed or pulled data from a dict/list/JSON where some items are ints and others are strings, then you applied .title blindly to all items. Type assumptions. User input or parsed values were cast to int (or l…  ( 8 min )

In this series, I'll share my progress with the 2025 version of Advent of Code. Check the first post for a short intro to this series. You can also follow my progress on GitHub. The puzzle of day 3 was a nice challenge. Of course, my simplistic solution for part one failed miserably when faced with the requirements of part two. Luckily, in the end I could solve both parts with a single function, which is always satisfying. My pitfall for this puzzle: Some stupid C++ mistakes. At some moment, I also began to doubt equality logic for std::pair, but a bit of debugging showed the error was in a different part of the code. #include #include #include #include #include std::vector loadInput(const std::string &filename) { std::vecto…  ( 7 min )

Conditional Expressions: condition ? true_value : false_value. This is useful for setting resource attributes based on variable values or other conditions. chose instances based on the environment (dev/prod) enable monitoring based on the configurations select different AMIs based on region example: // main.tf resource "aws_instance" "instance" { ami = "ami-0fa3fe0fa7920f68e" region = "us-east-1" instance_type = var.environment == "dev" ? "t3.micro" : "t3.small" count = var.instance_count tags = var.tags } // variables.tf variable "environment" { type = string default = "dev" } Splat Expressions: resource_type.resource_name[*].attribute. This is useful for retrieving attributes from multiple instances of a resource. example: // main.tf resource "aws_instanc…  ( 7 min )

Sorry for a long delay. Last month (Nov-2025) I have a flu that require many weeks to recover. I feel like this is the best productivity month I've ever done. I do this project alone and now I have a friend who will do with me. A 2D artist. Yes. Now it's a team. My project now has more promising. Changelog: Update drop rate stat config Update Mother sprite Enhance the UI stats with arrow for decreasing and increasing. Overhaul the movement mechanic. Remove joystick movement and replace with point-and-click movement. Add visual arrow for movement destination. User now can interact with items by clicking to. Block action when interacting. Have interacting time. Each item has its own interacted time. Update more interacting items: TV, Toilet, Toilet Sink, Fridge. Next planning: Overhaul the UI. Add VFX. Create more items. Have baby wonder-week. Baby AI. More challenges. Interactable item has black outline while selected item has yellow outline. https://youtube.com/shorts/VqfG5twOUGQ?feature=share  ( 6 min )

How to deploy a fully HA (High Availability) cluster completely isolated from the public network, managed via a Bastion? In the Cloud Native world, ease of access is often the norm. But for critical environments or simply to have complete control over your flows, isolation is king. My objective was clear: build a Kubernetes cluster that "doesn't talk to strangers". No direct exposure to the Internet, strict control of inputs/outputs through a single gateway, and secure administration. To achieve this, I chose Talos Linux (for its immutability and security) hosted on Proxmox (with a dedicated VXLAN network). Here's how I transformed three bare VMs into a High Availability (HA) cluster behind a Bastion. Before running any commands, let's set the stage. The challenge here isn't Kubernetes, …  ( 13 min )

I’m excited to join this community! I’m Amna, a tech learner who enjoys experimenting with AI tools, writing clean content, and building simple things that help people work smarter. Over the past few months, I’ve been exploring different AI writing and text-processing tools. I enjoy testing how they behave, how reliable they are, and how they can be improved for everyday users like students, bloggers, and developers. I also recently started working on a small project called Humanivio, where I experiment with humanizing AI-generated text. It’s been a fun learning experience and has taught me a lot about SEO, user behavior, and building helpful micro-tools. I’m here to: Share what I learn Connect with other creators Improve my skills Explore more open-source and AI-related discussions Looking forward to connecting with you all! 😊  ( 6 min )

Peace Thabiwa SUMMARY LAW-M is a multi-layered cognitive–mechanical theorem that defines how humans, machines, and environments exchange, predict, and synchronize time. It formalizes a truth modern engineering treats as an afterthought: every failure in high-speed systems is a failure of timing alignment, not a failure of components. In LAW-M, timing is not just a number — it’s a vector. H-Vector: Human biomechanics, cognitive delay, internalized time, sensorimotor loops V-Vector: Vehicle mechanical latency, drive-train inertia, response curves E-Vector: Environmental volatility, friction coefficients, atmospheric shifts LAW-M explains how these three timing worlds interact, fuse, drift, and misalign — and how the MindEye cognitive engine can stabilize them through patterned training, simu…  ( 134 min )

I grew up reading the gripping and petrifying narratives of R.L. Stine and spending way too much time playing story-driven video games. Now that I'm older, I've gotten into the TTRPG space because it hits a certain je ne sais quoi that tickles my lizard brain. I've also found that I'm not as good at coming up with ideas for adventures as I used to be. For anyone who has ever sat behind you laptop screen and keyboard, staring into the blinking cursor, you know the struggle: you have a cool concept, like "a Cyberpunk heist in a floating city," but when you try to flesh it out, you hit a wall. Naturally, we now can turn to AI for help. But here's the problem: standard LLMs are great at hallucinating generic tropes. You ask for a "scary forest," and you get the same old "twisted trees and whis…  ( 11 min )

Most AI-powered coding tools are excellent at generating code once… again. You update the spec, click "regenerate," and suddenly: Your custom logic disappears Your validation rules vanish Your test structure no longer matches Your handlers and models drift apart This is the regeneration trap. In this article, we'll break down: Why regeneration fails in traditional tools How ASA's deterministic pipeline prevents code loss The slice-based architecture that eliminates drift A real example showing safe regeneration Why determinism is essential for multi-agent AI workflows Here is the typical lifecycle developers experience with most generators: Day 1: Generate scaffolding → looks great Day 2: Implement business logic → feels great Day 3: Requirement changes → regenerate → everything is gone T…  ( 8 min )

If you’re running a website in 2026, you probably care about security. You might have HTTPS, HSTS, CSP, maybe even a bug bounty program. But there’s a tiny text file most sites still miss: /.well-known/security.txt It’s a simple file that tells security researchers how to contact you if they find vulnerabilities on your site. In this post, I’ll explain: What security.txt is (in human words) Why it matters even if you don’t run a big security team What goes inside the file How to generate one in a couple of minutes using a browser-based tool How to deploy it on common setups (static site, Laravel/PHP, .NET/IIS, etc.) No security team required. Just you, a text file, and a few minutes. security.txt? security.txt is a proposed standard (RFC 9116) for publishing security contact information …  ( 11 min )

Building a production-ready multi-LLM platform in weeks, not months When I set out to build Mirmer AI, I had an ambitious vision: resurrect the 400-year-old peer review process that built modern science, and run it at machine speed with AI models. The concept was simple but the execution was complex: Stage 1: Multiple AI models respond independently Stage 2: Models anonymously peer-review each other's responses Stage 3: A chairman model synthesizes consensus But here's the reality check: I'm a solo developer. Building this meant: FastAPI backend with async orchestration React frontend with real-time streaming PostgreSQL database with dual-mode storage Python SDK with sync/async clients CLI tool with browser-based authentication Payment integration with Razorpay Firebase authentication Dep…  ( 12 min )

As developers and engineers, we're obsessed with building products that solve real problems. We live in a world of logic, APIs, and elegant code. So when 'marketing' comes up, it's easy to tune out the fluff. But what if we looked at marketing—specifically customer stories—as the ultimate validation of our work? A great video testimonial isn't just a sales tool; it's a narrative about a problem solved. It's the human-centric output of our technical input. It’s proof that the product works. Let's deconstruct seven examples from top SaaS companies and see what we, as builders, can learn from them. Direct User Feedback: Testimonials are a distilled form of user feedback, highlighting the 'aha!' moments and core value props that resonate most. Product Validation: They prove you're not just…  ( 9 min )

We know that n8n is vibe tropic at now but why n8n is considered a pioneer in business automation, how it empowers both enterprises and AI developers with flexible, cost-efficient workflow orchestration, and see a clear comparison of similar tools — ranking them by price, performance, and scalability. https://medium.com/@hasanmcse/why-n8n-the-next-gen-automation-engine-2c2e9b35bd1e?sk=0e76a8b813e588d8d4ef4a8dc1cc6fc8  ( 6 min )

I would like to ask the expert devs here. If you would prefer to use a system where you have to learn multiple ISAs, internal structure and possibly programming languages? If you had a system where multiple architectures, where each one could be a generalist or a specialist specializing in doing one thing most efficiently but each one needed to be programmed differently with each having it's own internal structure, would you use it with a team?  ( 6 min )

The article was initially published on the Skyvia blog. Data’s all around us — from CRM systems and cloud apps to spreadsheets and data warehouses. But when your team’s wrangling numbers across 15+ platforms and spending more time copy-pasting than analysing, the real issue is a broken data flow. Here’s a quick breakdown of how to pick a pipeline tool in 2025, what to look for — and where a no-code alternative like Skyvia can really ease the load. A data pipeline is simply the process of moving data from one place to another, often transforming it along the way so it ends up clean, consistent and ready to use. In practice this means: grabbing data from SaaS apps, databases, APIs or spreadsheets cleaning, normalising or reshaping it (dedupe, convert, standardise) loading it into a des…  ( 9 min )

In the early days of microservices, “small and independent” sounded simple enough. Teams broke apart their monoliths, spun up a dozen new services, and declared victory. Then came the reality: too many services, endless integration pain, duplicated logic, and distributed complexity that nobody asked for. Somewhere along the way, the word “micro” became misunderstood. It was never about size - it was about boundaries. So, what does “micro” really mean? Let’s start with a misconception: microservices are not defined by lines of code. A microservice with 500 lines can still be too big - if it mixes domains. The essence of a microservice lies in independence: It can be developed and deployed independently It owns its data It exposes clear contracts It doesn’t need other …  ( 8 min )

Are you into competitive programming? Tired of missing contests across Codeforces, LeetCode, and CodeChef? Contest Clocker is a free, lightweight Chrome Extension that helps you stay on top of upcoming contests with smart reminders, calendar integration, and powerful filtering — all in one click. 🔗 Install from Chrome Web Store 🌐 Website As a developer who regularly participates in contests and interview prep, I found myself constantly switching between platforms and forgetting start times. That’s when I built Contest Clocker – a zero-friction solution to get notified, filter contests, and sync them to your Google Calendar. ✅ Multi-Platform Support: Codeforces, CodeChef, LeetCode (more coming!) 🔔 Smart Notifications: 15 min / 1 hour / 1 day before contest 📅 Add to Calendar: 1-click …  ( 7 min )

Self-Hosting with Stormkit: User Management" - Stormkit Learn how to manage user access to your self-hosted Stormkit instance. Configure sign-up modes, whitelist domains, and approve or reject user registrations. stormkit.io  ( 6 min )

As a developer, I frequently need to quickly track a list of tasks, and most of the time, I don't need the full-featured project management capabilities of solutions like Basecamp, Notion, Todoist, and others. I tried almost every tool, from Apple Reminders to Basecamp, but I either failed to manage my tasks properly or the features and complexity of the bigger tools overwhelmed me. To solve this, I created GoalHappy, a simple task manager app. Features No login required, start managing your tasks right away If you need cloud sync, create a free account and get 50 tasks synced for free PWA - Use cross-device (offline), and get your tasks synced when online If you need to manage a lot of tasks and lists, and also want to share the lists for collaborative work, the paid version is just $2 per month or $18 per year I believe that, as a developer, you will love GoalHappy. Everyone reading this post can use the coupon code DEVFRIENDS to get 100% off the pro version of GoalHappy for 1 year. The coupon code is valid for a limited time. Looking forward to constructive feedback from fellow developers.  ( 6 min )

Introduction Many developers believe that in 2025, we are too advanced to see simple SQL Injection vulnerabilities anymore. Well, while browsing the functionalities of a well-known TF2 trading site, I discovered that old habits die hard. How did I find the bug? On the Item page there is a navigation feature allowing users to jump to a specific page of listings. Pressing the "..." button triggers a pop-up where you can manually input the page number. Naturally I wondered "Does it trust my input?". Instead of a number, I inputted the character "e". The application didn't handle it gracefully, instead of a generic 404 or soft error the site threw a Fatal Error exposing massive amount of sensitive information. What did we get here? Database Error Code: "SQLSTATE[42000]" Database Type Logic…  ( 7 min )

I thought my .gitignore files were fine. Most of us probably do. You drop in a template, add a couple of custom patterns and believe everything is fine. Except it often is not. Typos slip in. Old entries linger. Some lines silently match nothing at all. Others match far more than you expect. I only realised this when I accidentally uploaded a file that should never have been in the repo. Unpicking it from multiple commits was a nightmare and it sent me down a rabbit hole. To understand what was going on, I needed a quick way to see which patterns were actually matching something in my workspace. The real numbers. Which is how IgnoreLens was born. IgnoreLens gives you a live insight into your .ignore files. It shows: how many files each ignore line matches which patterns match zero files places where you may have typos or dead entries It simply shines a light on the reality of your ignore rules so you can tidy them up with confidence. Marketplace: https://marketplace.visualstudio.com/items?itemName=ignore-lens.ignore-lens OpenVSX: https://open-vsx.org/extension/ignore-lens/ignore-lens It is my first VS Code extension, so if you have thoughts, feedback or ideas, I would love to hear them.  ( 6 min )

Tips From 15 Newsletter Writers On How To Build Your Own Newsletter writers with a combined audience in the hundreds of thousands share their top tips for building a successful publication. Lenny Rachitsky and Li Jin emphasize that success starts with producing consistently valuable content that is 10x better than anything else on the topic. Alex Taussig and Leon Lin advise writers to let authenticity and personality be the soul of their writing to stand out and connect with readers. Experts recommend spending significant time crafting compelling titles and hooks to draw readers in from platforms like Twitter. 👉 Read full article  ( 6 min )

Introduction: Why Your VPN Stops Working In the era of total network control and DPI (Deep Packet Inspection), standard solutions for ensuring availability (like OpenVPN or classic Shadowsocks) are quickly blocked. Regulators have learned to analyze traffic, even when it’s fully encrypted. In this article, we will examine the L-Security Cloud Tank architecture—a solution that makes blocking not just difficult, but economically and technically infeasible. Our approach combines protocol obfuscation with adaptive, geo-dependent Collateral Defense. The Protocol Shield: Defeating DPI The goal is simple: make the traffic indistinguishable from ordinary website browsing. Utilizing VLESS/V2Ray with WSS/TLS We use the VLESS (VLess over TCP) protocol with the WSS (WebSocket Secure) transport layer, …  ( 8 min )

There's been a wave of articles lately about TOON (Token-Oriented Object Notation), many proclaiming it saves "50% tokens" or calling JSON "outdated" for LLM applications. I've spent some time analyzing the actual numbers. The verdict? TOON is genuinely useful—but the marketing oversimplifies reality. Let me set the record straight so you can make informed decisions about when to use it. Here's the uncomfortable truth that many TOON articles gloss over: the "50% savings" figure is typically measured against formatted JSON (with pretty-printing, indentation, and whitespace). But real-world API calls and LLM prompts use minified JSON. When you compare against minified JSON - which is what you're actually sending to your LLM—the picture changes dramatically: Data Type vs Minified JSON Real…  ( 9 min )

WebSockets provide a powerful way to enable real-time, bidirectional communication between clients and servers. In this article, we'll explore how to implement WebSocket clients using the deboa-extras crate, a lightweight and flexible HTTP client library for Rust. The deboa-extras crate extends the core deboa HTTP client with WebSocket capabilities, making it easy to establish WebSocket connections and exchange messages in real-time. It's built on top of the hyper library and provides an ergonomic API for WebSocket communication. First, add the necessary dependencies to your Cargo.toml: [dependencies] deboa = "0.1.0" deboa-extras = { version = "0.1.0", features = ["ws"] } tokio = { version = "1.0", features = ["full"] } To create a WebSocket connection, you'll use the WebsocketRequestBuil…  ( 8 min )

From phones and laptops to home appliances and automotive dashboards, LCD screens appear in almost every kind of modern electronic device. Although we use them daily, the way they create sharp images and vivid colors is not always obvious. This article explains the fundamentals of LCD technology—its core layers, how liquid crystals modulate light, how backlighting works, how a pixel is formed, and the different LCD panel types found in practical applications. An LCD screen is built from several functional layers arranged to control how light passes through the display. Three main components form the basis of every LCD: Backlight – the light source behind the panel Liquid crystal layer – a thin structure made of liquid crystal cells Color filters – red, green, and blue sub-pixel filters…  ( 8 min )

Overview This article explains how we’ve revamped our product analytics frontend tracking at Super using Avo 📊. For a long time, we relied on Google Sheets to document frontend events, which led to unclear ownership, inconsistent schemas, and slow, manual QA in Segment. We’ve since moved to Avo’s Tracking Plan and Inspector, giving us a single source of truth, a proper branching and peer review process with developers, and automated validation. Accurate tracking is essential for reliable data monitoring. It helps us confirm that newly released features work as expected, identify and fix bugs, and optimise key user journeys – for example, the funnel for the Super Credit application. When tracking goes wrong, the symptoms can vary: Missing events Missing properties Typos in property valu…  ( 9 min )

The Multi-Account Reality Check In modern cloud architecture, multi-account strategies are the norm. We separate development from production, and often centralized shared services into their own hubs. A very common scenario is having a central "Security" or "Shared Services" AWS account holding sensitive database credentials in AWS Secrets Manager, which need to be accessed by a Lambda function running in a completely different "Workload" account. It sounds simple on paper: Create the Secret in Account A. Attach a resource policy to the secret allowing Account B to read it. Give the Lambda in Account B IAM permission to read the secret. You deploy your Terraform, invoke your Lambda, and... fail. You get an AccessDeniedException or a vague KMS error. I recently ran into this exact wall. H…  ( 8 min )

Anthropic just acquired Bun. First acquisition ever for the company behind Claude and Claude Code. Most takes I've seen focus on speed. "Claude Code needs fast tooling." "Milliseconds matter at scale." That's not wrong, but it's not the interesting part either. The interesting part is what this signals about where AI development is headed. Let's dive in! Bun is a JavaScript runtime that's faster than Node.js. It's also a package manager, bundler, and test runner—all in one. It's open source, MIT-licensed, and has about 7 million monthly downloads. Anthropic makes Claude. Their coding tool, Claude Code, has been growing fast—it hit $1 billion in annual run-rate revenue six months after public launch. That's not a typo. Six months. Here's the connection: Claude Code ships as a Bun executabl…  ( 9 min )

We tested five SERP APIs with standardized benchmarks to find which performs best for different use cases. Exa delivered the fastest responses at 1.180 seconds with semantic search over a proprietary index at $5 per 1,000 queries. Tavily aggregates and parses content for LLM applications. Scrapingdog offers the lowest per-request pricing at under $0.001 at scale. SerpAPI provides the broadest coverage with 20+ search engines. Scrapingbee bundles SERP access with general web scraping. This comparison helps you choose a SERP API for SEO monitoring, AI agents, RAG applications, or price comparison tools. Each section includes benchmark data, pricing breakdowns, and code examples. We tested five SERP APIs using this Python benchmark script that measured response time, success rate, cost, and f…  ( 21 min )

There’s a pattern I keep seeing in the developer world today: many people begin their journey by jumping straight into JavaScript frameworks. I’ll be honest — I made this mistake myself. When I first started coding, I jumped straight into JavaScript frameworks without really understanding the fundamentals of the web. I loved building fast, interactive apps and experimenting with all the latest tools and libraries. But underneath all of that, I was ignoring the basics — especially accessibility. I used for buttons. for headings. I styled everything to look right, but nothing had real structure or meaning. It took time (and a few painful code reviews) for me to realise something important: Frameworks change. The web does not. Once I understood that, it completely changed th…  ( 9 min )

Java's expm1() Method: The Hidden Gem for Flawless Exponential Math (No, Really!) Alright, let's talk about something in Java that sounds like boring math but is actually a low-key superhero for writing correct and precise code. We're diving into Math.expm1(). If you're like most devs, you've used Math.exp(x) a bunch. Need e^x? Cool, Math.exp(x), done. But what about when you need e^x - 1? Your brain instantly goes, "Easy, Math.exp(x) - 1." I get it. It seems logical. But here's the kicker: for tiny values of x, that simple subtraction can be a silent data assassin. That's where Math.expm1(x) swoops in. It's not just a niche function; it's a fundamental tool for writing robust numerical software. Let's break down why, without the jargon overload. What Exactly is Math.expm1()? e^x - 1 (th…  ( 10 min )

As AI evolves beyond single turn prompts and chat based interactions, a new question is becoming central to developers, engineers and AI architects : What is Agentic AI architecture? The rise of multi step reasoning, autonomous task execution and interconnected systems of AI agents has created a new architectural model , this is not just to generate information, but to act, decide and operate within complex digital environments. This guide breaks down : what agentic architecture is what AI agent architecture looks like the difference between agent architecture and LLM prompts modern patterns like agentic RAG architecture diagrams for understanding real agentic AI systems how these architectures power enterprise and production applications What Is Agentic AI Architectu…  ( 8 min )

Transactions Aren’t Enough: The Need For End-To-End Thinking (5 min)🤝 https://blog.allegro.tech/2025/12/transactions-arent-enough.html Introduction to JVM Method Profiling (11 min)👤 https://softwaremill.com/introduction-to-jvm-method-profiling/ What if Java didn’t have modCount? (13 min)🔀 https://donraab.medium.com/what-if-java-didnt-have-modcount-60f1bba9f3ff Spring Boot Built-in API Versioning (12 min)🏷️ https://piotrminkowski.com/2025/12/01/spring-boot-built-in-api-versioning/ Treat test code like production code (5 min)⭐ https://blog.ploeh.dk/2025/12/01/treat-test-code-like-production-code/ My second Cloudflare Tunnel (2 min)🚇 https://blog.frankel.ch/second-cloudflare-tunnel/ Beyond Regex, Hello AI: Smarter Spring Validation with Semantic AI Validator (14 min)👮 https://softwaremill.com/beyond-regex-hello-ai-smarter-spring-validation-with-semantic-ai-validator/ Quickstart: Run an MCP Server on JVM and Integrate with Copilot (8 min)🔌 https://blog.allegro.tech/2025/12/mcp-server-jvm-copilot-quickstart.html  ( 17 min )

AWS Data Cataloguing Cataloguing Data in AWS Using Glue Crawlers: A Practical Guide for Data Engineers Introduction In modern data engineering, one of the most overlooked but powerful capabilities is data cataloguing. Without a clear understanding of what data exists, where it lives, its schema, and how it changes over time, no ETL architecture can scale. In this guide, I walk through how to catalogue data using AWS Glue Crawlers, and how to structure your metadata layer when working with raw and cleaned datasets stored in Amazon S3. This tutorial uses a simple CSV file in an S3 raw bucket and walks through how AWS Glue automatically discovers its structure and builds a searchable, query-ready data catalog. You can replicate every step through your AWS Console and i…  ( 9 min )

Elementor Pricing Table Widget: Design High-Converting Plans for Your WordPress Site In the competitive landscape of online business, clearly and attractively presenting your services and products is paramount. Whether you're offering digital services, SaaS subscriptions, or physical product bundles, a well-designed pricing page can significantly influence a potential customer's decision. For WordPress users, Elementor stands out as a powerful page builder that simplifies this task, especially with its versatile Pricing Table widget. This article will delve into how you can leverage Elementor's Pricing Table widget to not only display your pricing plans professionally but also to entice visitors to convert into loyal customers. Understanding the Elementor Pricing Table Widget The Elementor…  ( 9 min )

AI + Small Teams = Unfair Advantage (Here’s the Playbook) Jaideep Parashar ・ Dec 3 #ai #design #webdev #discuss  ( 7 min )

For decades, building big meant hiring big. Large teams, large budgets, large offices, large burn. But in 2025, that equation has completely flipped. Today, small teams powered by AI are outperforming large organisations, not by working harder, but by working with leverage. This isn’t a trend. It’s a structural shift in how value is created. Here’s the real playbook behind why AI + small teams equals an unfair advantage, and how this advantage actually works. 1. Small Teams Move Fast. AI Makes Them Relentless Speed has always been a startup advantage. But now, AI multiplies that speed: Design in minutes Code in hours Test in real-time Market instantly Support automatically Analyze continuously Large teams slow down because of: meetings alignment approvals handoffs dependencies Small teams …  ( 11 min )

When I started building LogWard, I wanted more than just a log viewer. I wanted developers to have the same security detection capabilities that SOC teams use in enterprise SIEMs like Splunk or QRadar. But how do you implement security detection rules without reinventing the wheel? Enter Sigma: the open standard for detection rules that works across different log management platforms. Sigma is like "Snort rules for logs." It's a generic signature format that describes suspicious activity in a platform-agnostic way. Instead of writing vendor-specific queries, you write a single YAML rule that can be translated to: Splunk SPL Elastic Query DSL Microsoft Sentinel KQL ...and now, SQL for LogWard Here's a real example from SigmaHQ's repository: title: Suspicious PowerShell Encoded Command statu…  ( 9 min )

Photo by Daniel Seßler on Unsplash Recently, the number one use case for streaming responses is probably interactions with LLMs. It allows providing a better user experience in chat interfaces. Now it is possible to stream a response from Lambda functions using the API REST Gateway. It is big news, as previously streaming response from AWS Lambda has been working in a limited way. It was possible only using the Function URL functionality, and it didn't fit into all use cases. In this blog post, I will create a simple AWS Lambda that calls AWS Bedrock Model and streams the response back to the caller. I will use Rust to keep my Lambda small, fast and cheap. I am using rig.rs as my AI framework. Let' start from defining main function mod http_handler; use http_handler::function_handler; us…  ( 9 min )

Not all leaders raise their voices — some rise by raising their standards. I recently learned about Roshni Nadar, and her journey truly stayed with me. She wasn’t from tech. She wasn’t loud. And many assumed she succeeded only because of her name. But she chose a different path — learning quietly, working consistently, and proving herself through action. From a shy media professional to the first woman leading a major Indian IT company, her rise is remarkable. Her story reminds us: you don’t need noise to create impact — your work can be your voice. Which quality of Roshni inspires you the most — her calm confidence or her consistent growth?  ( 6 min )

We all have that friend - the one who checks BTC price before checking messages, explains halvings at parties, and casually says “I don’t hold fiat.” Nothing says “I care about your digital sovereignty” like a cold wallet. Here’s where things get futuristic. blockchain swagger. It’s flexible, secure, and way cooler than handing someone an envelope with cash. If they're the type to say “send USDT instead of flowers,” this is their gift. https://medium.com/@mcknighttyler486/how-i-applied-the-new-wb-check-by-whitebit-in-practice-69bd7a9ec6a2 From neon BTC signs to Ethereum-shaped coasters - Web3 decor is an entire ecosystem. Bonus points if it glows. Everything in crypto glows. 💡😎 Crypto people are weird. Happy gifting - and may your friends forever HODL your respect. 🚀  ( 7 min )

Table Of Contents What Are Backend Frameworks (And Why They Matter) How To Choose the Best Backend Framework Backend Frameworks Comparison Table Express & NestJS - the Node.js workhorses Django - batteries included for business apps FastAPI - type-first Python for modern data services Spring Boot - enterprise-grade Java reliability Laravel - PHP’s rapid-fire framework ASP.NET Core - cross-platform, cloud-ready speed Ruby on Rails - convention over configuration Gin & Fiber - Go for low-latency APIs Phoenix - real-time resilience on BEAM Emerging Backend Frameworks to Watch (2026) Architecture Patterns That Unlock Scale Performance Playbook by Framework Family Example Path: From Shortlist to Decision Closing Thoughts - Speed, Scale, And Smart Choices If your app feels slow, users vanish.…  ( 12 min )

AI Takes the Helm: Autonomous Task Assignment Revolutionizes Construction Imagine a construction site where deadlines consistently slip, costs balloon, and robotic teams struggle to coordinate, resulting in expensive downtime. Traditional optimization algorithms, while powerful, often buckle under the weight of real-world unpredictability and the dynamic nature of construction projects. What if you could replace rigid programming with an AI that dynamically adapts to changing conditions, optimizes resource allocation on the fly, and dramatically reduces project costs? That's the promise of a new AI framework utilizing large language models (LLMs) for robotic task assignment. Instead of pre-programmed routes and task sequences, the system leverages natural language reasoning to understand…  ( 7 min )

In her recent interview, Julia Kasper, co-founder and CEO of Zukunftmoor, argues that rewetting drained peatlands represents the single biggest climate opportunity in agriculture today. Although peatlands cover only about 3 % of the global land surface, they store more carbon than all the world’s forests combined. When peatlands are drained, a common practice for agriculture, they don’t just release CO₂ once; they leak carbon continuously, year after year. Restoring peatlands thus stops that “constant leak,” and rewetting them can turn a major source of emissions into a long-term carbon sink. But rewetting alone is not enough: farmers need viable, sustainable livelihoods. That’s where Zukunftmoor’s innovative approach comes in. They propose combining rewetting with cultivation of Sphagnum moss — a natural plant of peatlands — which can serve as a sustainable substitute for extracted peat in horticultural substrates. This turns rewetting from a purely ecological restoration act into a market-driven, economically viable land-use model. By using drones or hand-seeding methods, and developing harvesting and substrate-supply chains, the approach offers farmers a low-input, long-term pathway to maintain income while restoring degraded peatlands. With this combination of climate mitigation and practical agriculture, Kasper’s vision offers peatland regions across Europe a concrete alternative to drainage-based farming — one that aligns environmental restoration with economic viability. Original article published on Investing in Regenerative Agriculture.  ( 6 min )

Olá, 1) South Summit Brazil 2026 (25 a 27 de março de 2026, Cais Mauá, Porto Alegre) 2) Web Summit Rio 2026 (8 a 11 de junho de 2026, Rio de Janeiro) 3) Gramado Summit 2026 (06 a 08 de maio, Gramado, RS) Alguém de vocês participou desses ou de eventos similares no ano passado? Quais foram as impressões? Planejam participar de algum desses eventos neste ano? Obrigada pela resposta antecipadamente! Para mais informações e o calendário completo, veja: Nuvemshop Blog — Eventos de Inovação Nexuhub — Agenda Obrigatória das Startups em 2026 Sict RS — South Summit Brazil 2026  ( 7 min )

Introduction Microsoft Excel remains one of the most enduring and significant tools in the world of data analysis. Before the rise of sophisticated analytics platforms and business intelligence software, Excel was the starting point for many firms to investigate data-driven decision-making. As a spreadsheet tool, Excel helps users to organize, modify, and visualize data in ways that make patterns clearer and insights easier to discover. In contrast, business intelligence (BI) refers to the methods, tools, practices, and technology that transform raw data into meaningful information that is useful for making operational and strategic decisions. While BI has evolved, Excel continues to play a crucial role in bridging the gap between simple analysis and complex enterprise-level insights. Ex…  ( 8 min )

Java has evolved dramatically since the days of verbose anonymous classes. With Java 8, the language embraced functional programming through lambda expressions—and today, they're foundational: Streams, concurrency, collections, event handling, and reactive systems all depend on them. If you're a working engineer who wants cleaner, more maintainable Java code, mastering lambdas isn't optional—it's essential. Let's break down lambda expressions with real-world examples you can use immediately. A lambda expression is a concise way to implement a functional interface—an interface with exactly one abstract method. Before lambdas: Runnable r = new Runnable() { @Override public void run() { System.out.println("Hello from thread!"); } }; With lambdas: Runnable r = () -> System…  ( 9 min )

MDX Content: # Achieving Fast Response Times with Laravel and Nginx Achieving very fast response times with a Laravel app behind Nginx is mostly about avoiding bootstrapping PHP/Laravel on every request. You can accomplish this with: A 300 ms TTFB (time to first byte) for a small site with about 50 records is often caused by: Even with small datasets, the cost of spinning up the framework on every request is high compared to serving a static or cached response directly from Nginx. Nginx FastCGI cache is the key to implementing full-page caching in front of Laravel. It allows you to store the final HTML response on disk (or in memory) and serve it directly, bypassing PHP on subsequent requests. Conceptually, you need to: A typical configuration includes fastcgi_cache_path to define the cach…  ( 9 min )

(This article only discusses content safety for text generation, not multimodal.) Connecting AI inputs/outputs to a content‑safety filtering system is almost a must‑have feature for any AI gateway. For compliance, on the one hand, personal information in the context needs to be desensitized; on the other hand, certain inappropriate statements need to be sanitized. Most content‑safety filtering systems on the market work similarly: they take a piece of text and return processing results (whether to filter, which rules were violated, what text needs to be replaced, etc.). In fact, an AI gateway can have a dedicated content‑safety subsystem placed on the proxy path. Different content‑safety vendors are just different providers for this subsystem; only the integration formats and configs diffe…  ( 9 min )

I recently tried to implement a secure OTP-based email verification and password reset flow - only to realize how little concrete, end-to-end guidance is out there. Most write-ups simply skip the gritty parts because everyone seems to rely on external auth providers. I wanted something I could fully control, so I built a self-hosted solution from scratch while thinking carefully about OTP generation, hashing, crypto, race conditions and a smooth user experience. ⚠️ Disclaimer: These are just my personal notes and reflections, not exhaustive security guidance. Evaluate and adapt them to your own system requirements. Prevent email enumeration by making sure all requests take constant time. This can be implemented as a middleware that “sleeps” if a request takes less than a certain amount of …  ( 10 min )

A version of this article originally appeared in my personal blog on November 4, 2025 If you're working in a project that is in active development, it's very likely you perform many repetitive tasks that you have done before and will inevitably need to do again in the future. For instance, perhaps you often need to add functionality to your application that calls a given REST API, deserializes its JSON response into a DTO (Data Transfer Object), and then transforms it into a domain object that your app can consume. While the exact endpoint, data payload, and purpose may change from one instance to another, the actual steps in the implementation often remain largely the same. This type of process—fetching data, parsing it, and integrating it into your domain model—is so common in software d…  ( 10 min )

This article walks through building a Chrome extension from scratch using React, TypeScript and Vite. We'll build a Freelance Rate Calculator that helps developers check their market rate. This article includes: Setup React + Vite + TypeScript project for Chrome Extension Configure manifest.json for Manifest V3 Build calculator UI with Tailwind CSS Load and test extension locally Submit to Chrome Web Store Create new Vite project with React and TypeScript: npm create vite@latest rate-calculator -- --template react-ts cd rate-calculator npm install Add Tailwind CSS: npm install -D tailwindcss postcss autoprefixer npx tailwindcss init -p Configure tailwind.config.js: /** @type {import('tailwindcss').Config} */ export default { content: ["./index.html", "./src/**/*.{js,ts,jsx,tsx}"], …  ( 9 min )

Central banks don't usually sound alarms about specific technologies. When they do, it's worth paying attention. This week, the Bank of England warned that a multi-trillion dollar spending boom in artificial intelligence infrastructure financed by debt risks unraveling given "materially stretched" stock market valuations. The Bank of England projects that approximately $5 trillion will be spent globally on AI infrastructure over the coming five years. Initially, Big Tech funded this build-out from their massive cash reserves. But that's changing fast. The Bank now estimates that nearly half of the $5 trillion expected to be poured into AI infrastructure over the next five years will come from external financing, particularly through debt markets. That shift matters enormously. When compa…  ( 8 min )

Three nations. One crown. $205 billion at stake. Welcome to Africa's most fascinating economic rivalry where the future of finance is being written not in Silicon Valley, but in Lagos, Johannesburg, and Nairobi. While Wall Street debates whether crypto is the future or a fad, three African nations have already moved past the conversation. They're not asking IF cryptocurrency matters, they're fighting over WHO will dominate it. South Africa, the sophisticated first mover with institutional muscle and regulatory maturity. Nigeria, the scrappy volume king with grassroots adoption that shocks the world. Kenya, the strategic latecomer positioning itself as the "gateway to Africa" with fresh regulation and tech savvy ambition. Between July 2024 and June 2025, Sub Saharan Africa processed over $2…  ( 17 min )

Created and personally awarded by Dr. Werner Vogels, Amazon’s Chief Technology Officer, the Now Go Build Award recognizes exceptional individuals who embody the spirit of invention, community leadership, and hands-on building. These are developers, educators, and technologists who don’t just use AWS—they elevate others, scale communities, and turn real-world problems into real-world solutions. Since its inception, the award has highlighted a select group of AWS Heroes and community leaders whose work reflects long-term, meaningful impact. Below is a consolidated timeline of known recipients, along with their contributions and primary announcement links from Werner Vogels. 2025 — Raphael Francis Quisumbing https://www.linkedin.com/posts/wernervogels_this-years-now-go-build-award-goes-to-raphael-activity-7401870859310747648-3XJn Bio: He represents a generation of developers who blend hands-on building, public learning, and people-centered leadership. 2024 — Rossana “Roxs” Suarez https://www.linkedin.com/posts/wernervogels_i-had-the-honour-of-presenting-this-year-activity-7269714613733134337-JPsx/ Bio: 2023 — Luc van Donkersgoed https://www.linkedin.com/posts/wernervogels_aws-reinvent2023-awscommunity-activity-7135136044202496000-RuC3/ Bio: 2022 — Bhuvaneswari Subramani https://www.linkedin.com/posts/wernervogels_my-favorite-part-of-reinvent-is-meeting-activity-7003240238055636992-ncaF/ Bio: 2021 — Matt Coulter https://dev.to/aws-heroes/aws-reinvent-2021-was-a-delight-58g4#werner Bio: Matt is a Serverless Hero and creator of the CDK Patterns project, which became one of the most widely used learning and reference tools for AWS CDK developers. His work has accelerated global adoption of infrastructure-as-code through well-documented, production-ready patterns. Featured prominently by Werner Vogels in the 2021 keynote, Matt exemplifies builders who improve the world by making complex systems more approachable.  ( 7 min )

Hey there, Dev.to Community! 👋 Are you looking to boost the performance of your 3D scenes with a large number of MeshInstance3D or procedural geometry? Look no further than the Merging Meshes add-on for Godot 4! Merging Meshes is a simple but powerful add-on designed to optimize your scenes by combining multiple MeshInstance3D nodes into a single mesh. This reduces the number of drawing calls, resulting in a significant performance boost. Merging Meshes uses the SurfaceTool class to append meshes from MeshInstance3D nodes. This allows you to combine an unlimited number of meshes into one, drastically improving performance. Download and enable the addon: Make sure the folder is located in the addons directory. Add a MergingMeshes node: Add the MergingMeshes node into your scene. Configure the node: In the Inspector panel, add your MeshInstance3D nodes to the meshes parameter. Optional: Assign a Material3D to the GeneralMaterial parameter to set the material for the merged mesh. Recommended: Keep the HideSource parameter enabled to automatically hide the original MeshInstance3D nodes. Download on Github. This mini-add-on is part of a larger project I'm working on for Godot 4. Stay tuned for more updates and features! If you found Merging Meshes helpful, consider starring the repository to make it easier for others to find it. Happy coding! 🚀  ( 6 min )

Today, whatever is new quickly becomes old. We started with AI, then moved to Generative AI, and now it's Agentic AI. Honestly, the lines blur because everything overlaps and shines depending on our use cases and requirements. Before diving deeper, it's also key to clarify the difference between Generative AI and Agentic AI. Generative AI is reactive; it creates content, text, images, and code based on user prompts. It focuses on what to create when asked. In contrast, Agentic AI is proactive and autonomous. It takes initiative, sets goals, plans multi-step workflows, makes decisions, adapts dynamically, and executes tasks with minimum supervision. Generative AI powers content within these systems, but Agentic AI orchestrates entire processes to achieve goals efficiently, turning AI from a…  ( 8 min )

ArcMind AI — Generate Complete System Designs Using AI System design is hard. You sit down to design a scalable architecture, and suddenly you’re drowning in: choosing the right components planning microservices deciding databases drawing architecture diagrams explaining everything clearly I’ve gone through this pain myself while building products and preparing for system design interviews. So I created ArcMind AI — an AI-powered system design generator that converts plain English descriptions into fully structured architectures. Just describe what you want to build, and it generates: ✔ Full System Architecture Clear explanations of: API gateway backend services databases caching load balancers queues messaging systems CDN authentication deployment strategy …  ( 7 min )

Derek Mobley thought he was losing his mind. A 40-something African American IT professional with anxiety and depression, he'd applied to over 100 jobs in 2023, each time watching his carefully crafted applications disappear into digital black holes. No interviews. No callbacks. Just algorithmic silence. What Mobley didn't know was that he wasn't being rejected by human hiring managers—he was being systematically filtered out by Workday's AI screening tools, invisible gatekeepers that had learned to perpetuate the very biases they were supposedly designed to eliminate. Mobley's story became a landmark case when he filed suit in February 2023 (later amended in 2024), taking the unprecedented step of suing Workday directly—not the companies using their software—arguing that the HR giant's al…  ( 18 min )

I built an Open Source Instagram Unfollowers tool (No Login required) 🛡️ Hi everyone! 👋 I was tired of "Unfollowers" apps that require a monthly subscription, show tons of ads, or worse—ask for my Instagram password (which is a huge security risk). So, being a developer, I decided to build a safe, open-source alternative. I took inspiration from existing community scripts and wrapped them into a modern, user-friendly tool with a brand new Glassmorphism UI and Mobile support. It's a script that runs locally in your browser console. It scans your followers/following lists using your active session and shows you exactly who isn't following you back. 🛡️ 100% Safe: It runs on your side (client-side). No password required. ⚡ No Login: It uses your active browser session cookies securely. 📱…  ( 7 min )

In the previous blog post, we highlighted some of the new features in SeaORM 2.0. In this post, we're going to take a closer look to some of the changes under the hood. Entity::insert_many #2628 We've received many issue reports around the insert_many API. Previously, insert_many shares the same helper struct with insert_one, which led to an awkard API: let res = Bakery::insert_many(std::iter::empty()) .on_empty_do_nothing() // …  ( 12 min )

A technical perspective on browser automation internals, protocol architectures, and when to use what. The Two Protocols Architecture Comparison WebDriver Protocol (W3C) Chrome DevTools Protocol (CDP) Head-to-Head Comparison When to Use What Our CDP Implementation Production Examples Final Thoughts Browser automation comes down to two fundamental approaches: WebDriver - W3C standardized, cross-browser, high-level abstraction over HTTP REST. CDP - Chrome's native debugging protocol, WebSocket-based, low-level access to browser internals. Both solve browser automation. Neither is universally "better." Your use case dictates the choice. ┌──────────────┐ HTTP/REST ┌──────────────┐ Native ┌─────────────┐ │ Client │ ◄────────────► │ Driver │ ◄──────────► │ Browser │ │…  ( 14 min )

Python is currently the best tool for training machine learning models (AI), with many tools available in the Python ecosystem - like PyTorch and Hugging Face Transformers - it has never been easier to create a proof of concept for an AI model. We are big fans of Python because of how easy and flexible it is. However, let's take a look at the deployment aspect of using the model. When it comes to inference (running a trained model) on platforms where you need to run a model in a production environment or on a device that is not a computer, Python starts to show its disadvantages. If you've tried deploying a PyTorch application before, then you already know the pain points involved in the process. You have to create a multi-gigabyte Docker container image just to run a simple Python script.…  ( 9 min )

WebAssembly (WASM) is rapidly evolving into the “universal virtual machine”. Originally designed to let browsers run non‑JavaScript code, WASM has grown beyond its initial scope. Today, major toolchains such as C/C++, Rust, Go, Zig, and even higher‑level languages like Python and C# can compile to WASM, making it a powerful cross‑platform runtime. Both the WASM Virtual Machine and the Java Virtual Machine (JVM) are stack‑based machines. This architectural similarity means that compiling from WASM bytecode to JVM bytecode is not only possible but practical. Projects like Chicory demonstrate this by translating WASM modules into native JVM classes. This approach solves a long‑standing problem: How do we reuse existing C/C++ libraries in modern toolchains without rewriting everything? Tradi…  ( 7 min )

Hello there!👋🧔‍♂️ Today, we're exploring the three main service lifetimes: singleton, scoped, and transient. Understanding dependency injection (DI) lifecycle management is crucial for building reliable applications. Get it wrong, and you might end up with memory leaks or shared state bugs. Get it right, and your code will be cleaner and easier to maintain! When you register a service in a dependency injection container, you need to specify its *lifetime, how long the container should keep an instance alive. The three main lifetimes are: Singleton - One instance for the entire application lifetime Scoped - One instance per scope (typically per HTTP request in web apps) Transient - A new instance every time it's requested Singleton is like having one shared tool that everyone uses. There'…  ( 10 min )

CSS: if you’re afraid of deleting CSS, your code is legacy. The standard is deletability (Tailwind / zero-runtime CSS-in-JS). JavaScript: mutating objects causes most “weird” bugs. Use immutability by default. React: stop using useEffect to calculate totals. Use derived state during render. Career: companies don’t pay for “beautiful code”. They pay for performance and profit. Let’s be brutally honest: your job title on LinkedIn won't protect you from the next round of layoffs. This is not just another rant; this is a 2025 Frontend Career Guide for those who want to survive. If your routine is still waiting for a Figma file to "translate" pixels into React and installing five libraries just to build a form, you have a target on your back. The bubble has burst. The easy money has dried up…  ( 9 min )

The UK government’s highly anticipated Circular Economy Growth Plan, previously known as the Circular Economy Strategy for England, is now set to be unveiled in the new year, with public consultation expected to follow. This update, confirmed by Defra Secretary of State Emma Reynolds, signals a slight delay from original timelines but reconfirms the government's commitment to addressing the nation's ‘throwaway culture’. For commercial real estate (CRE) and property owners, this renewed focus on circular principles is not just about environmental compliance; it represents a significant shift in operational strategy, asset management, and long-term value creation. Understanding its implications now is crucial for future-proofing portfolios. The forthcoming plan builds on the extensive work o…  ( 8 min )

The "AI revolution" in e-commerce isn't just about futuristic robots; it's about practical efficiency. For a WooCommerce store owner, AI tools are essentially employees that never sleep, analyzing data, answering questions, and optimizing sales 24/7. With the right WooCommerce development services, these AI-driven solutions can be seamlessly integrated into your store, enhancing customer experience and boosting your business's growth. Below are 5 distinct tools that integrate seamlessly with WooCommerce to modernize your store’s operations. Category: Customer Support & Sales Chatbot Customer support is often the biggest bottleneck for growing stores. Tidio is a popular live chat and chatbot platform, but its standout feature for 2024/2025 is Lyro AI. Lyro is a conversational AI (similar to…  ( 9 min )

When using Scrapy for large-scale, high-frequency data scraping, simple proxy settings are no longer sufficient. Random IP rotation and fixed delays can lead to inefficiency, IP waste, and even trigger more sophisticated anti-bot mechanisms. Deeply integrating residential proxies with Scrapy and performing performance tuning is an essential skill for building industrial-grade, robust, and efficient data pipelines. This article goes beyond basic proxy middleware configuration, delving into how to implement intelligent IP management, dynamic performance optimization, and cost control within the Scrapy framework to unlock the full potential of residential proxies. The traditional proxy integration method (setting a single proxy in settings.py) is fragile. We need a more robust architecture. R…  ( 10 min )

This article is for anyone writing Playwright tests with AI assistance TL;DR: AI agents using Playwright MCP often write positional selectors like getByRole('button', { name: 'Add to Cart' }).nth(8) or chain parent traversals like locator('..').locator('..') because accessibility snapshots omit non-semantic containers. Verdex is an experimental MCP Server that solves this through progressive disclosure at two layers: Layer 1 - Three DOM exploration primitives (resolve_container, inspect_pattern, extract_anchors) reveal structural information incrementally, using ~3k tokens per exploration instead of 50k+ token DOM dumps. Layer 2 - AI assistant configuration (cursor rules, Claude skills, or similar) teaches LLMs how to compose these tools correctly, loading instructions progressively. Toget…  ( 33 min )

Hello everyone, I'm excited to share two Python libraries I've been working on recently: llmlog_engine and mini_faiss. Both tackle performance-critical problems in production AI systems with C++ implementations under the hood while providing clean, Pythonic APIs. For context, I've been building LLM-powered applications in production, and two recurring bottlenecks kept appearing. First, analyzing application logs to understand model behavior, error rates, and latency patterns was painfully slow with pandas alone. Second, running similarity searches on embeddings for retrieval systems felt like overkill with full FAISS for smaller datasets, yet pure NumPy was too slow. I explored existing solutions but found a gap: llmlog_engine addresses the need for a lightweight, embedded analytics engine…  ( 10 min )

Let’s be real for a second. Insurance apps are full of repetitive, predictable flows: Do we really want to rebuild the same steps every single time? Guidewire took one look at that chaos and said: “Developers deserve better. And faster. And less repetitive stress.” That’s why Patterns exist in JDP (Jutro Digital Platform). If Jutro Components are the LEGO bricks, Patterns are the pre-built LEGO sets that already look like a car, a house, or a spaceship, you just customize the colors and stickers. In simple words: Patterns are reusable, ready-to-go UI flows built from multiple Jutro components, designed specifically for insurance journeys. You don’t have to reinvent multi-step forms, document upload flows, payment steps, quote summaries, or review pages. Patterns say: It’s like having a fri…  ( 7 min )

I spent two months building a feature that I deleted in a single afternoon. The code was clean. The tests passed. The architecture was solid. But the fundamental approach was wrong, and no amount of refactoring could save it. I had optimized for the wrong metric, built for the wrong use case, and designed around assumptions that reality brutally disproved. Two months of work. Gone. My first instinct was to bury it. Pretend it never happened. Move on to the next thing and hope nobody asked too many questions about that mysterious gap in my commit history. After all, why would I want to document my failure publicly? Then I wrote a post-mortem. Not for my team—for the internet. I published everything: what I built, why it failed, what I should have done differently, and the specific warning s…  ( 13 min )

Let’s be honest: we all care about bundle size. Or at least, we should. For years, bundlesize was the go-to tool for this. It was the venerated guardian of our build pipelines, ensuring we didn't accidentally ship a 5MB lodash import to production. Sadly, it has become outdated and unmaintained. I'd hoped for it to be updated, but as security checks began to scream at me for its transitive dependencies exposing all manner of issues, a replacement had to be found. As one didn't simply materialize in the ecosystem, I decided I had to build one myself. Hence, Overweight 🧳⚖️. It’s a lightweight, modern replacement for bundlesize that helps you keep your file sizes in check. It supports Gzip and Brotli compression out of the box and integrates seamlessly with your CI. The concept is simple: y…  ( 7 min )

Remote software teams are now the norm, offering global talent but also plenty of challenges such as scattered time zones, miscommunication, missed dependencies, and delayed handoffs. Without a clear plan, even strong teams can feel like they are running in circles. This article will show how a well-defined task sequence brings structure, clarity, and smoother collaboration to remote development teams. You will discover the importance of task sequences, common patterns, and practical steps to implement them, along with tips and tools to keep your team aligned and working in sync. A task sequence is more than a list of things to do. It is an ordered set of development tasks showing dependencies, triggers, and outcomes. In software projects, tasks can include coding, code reviews, testing, d…  ( 12 min )

Everyday I see a shiny new AI tool for coding: AI that writes code AI that explains code AI that reviews code AI that documents code AI that fixes bugs you didn’t even know you had Amazing. Useful. Love that for everyone. But being around developers all the time, I’ve realized something: The most exhausting parts of a developer’s job have nothing to do with writing code. We’re drowning in tools that help you code… Here are the AI tools devs actually need: 🔥 1. AI that explains a PR like a normal human Not “diff stats.” But: What changed Why it changed What broke What’s risky Who touched this last Why the code looks haunted Basically a PR therapist. 🔥 2. AI that reads Slack and gives you the real summary Because let’s be honest: 70% of Slack is noise 20% is memes 9% is confusion 1% is the thing you actually needed to know Where is the AI that says: “Here’s the ONLY thing that mattered from yesterday. You’re welcome.” 🔥 3. AI that remembers WHY someone wrote cursed code Dev: “Who wrote this?” We need an AI that reconstructs the crime scene: the context the deadline panic the hacky patch the temporary solution that became permanent the Jira ticket titled “quick fix don’t judge” This would save lives. 🔥 4. AI that tells you which meetings are safe to ignore Let’s be real: Some meetings matter. Some meetings shouldn’t exist. Some meetings actively reduce lifespan. I want AI that whispers: “Skip this one. It’s just three people arguing about naming conventions.” 🔥 5. AI for the glue work devs secretly hate The real energy traps: clarifying requirements translating vague messages remembering decisions tracking discussions chasing answers updating docs keeping everyone aligned context-switching 47 times a day This is the work no AI tool touches… AI for glue work will be bigger than AI for code. 💬 Your turn I want to know from actual devs: What’s ONE AI tool you wish existed — not for coding, but for your sanity? The funnier and more petty your answer, the better. I’m ready 😂👇  ( 7 min )

Optimization is at the heart of every decision-making process. Whether it is a business allocating limited resources, a logistics company optimizing route planning, or a financial institution balancing risk and return, optimization helps identify the most efficient solution among several alternatives. In R, optimization techniques are widely used due to the language’s rich mathematical and statistical capabilities, as well as its extensive package ecosystem. This article explores the origins of optimization, its real-world applications, and detailed case studies, followed by step-by-step demonstrations of how to execute optimization tasks in R. Origins of Optimization By the early 20th century, optimization gained prominence through operations research, especially during World War II when …  ( 9 min )

What do you do as a product manager when your design team push for a clean, modern interface, while developers argue for the old, familiar UI? tldr; You should always go with the solution of the designers because they are designing for users not programmers. Programmers are not the audience. Developers spend their life inside complex tools, terminals, logs, IDEs — clutter doesn’t bother them because they’re trained to survive it. But users are not developers. Normal people don’t want interfaces that look like a cockpit from the 1990s. Designers are literally trained to solve this problem. A designer’s whole job is: visual hierarchy readability spacing usability clarity human factors A programmer’s job is not design. Their taste is shaped by tools built for power-users. Old, cluttered i…  ( 7 min )

You know the feeling. You spend three hours on a Saturday night with Claude or Cursor. You’re in the flow. You prompt, it generates, you paste. The app works. You show your non-technical friends who think you’re a genius, and you feel like you’ve unlocked a superpower. Life is good. Then, the hangover hits. You notice a bug, or you want to add a "quick" feature. Or worse, you pushed to production, and now users are starting to notice issues. Suddenly, you’re staring at thousands of lines of code you didn’t really write and, let’s be honest, don’t really understand. You beg the AI to "fix it," but since it has no memory of why it made those decisions three days ago, it just adds more spaghetti on top of the sauce. You go around in circles, stuck in an endless AI loop. This is the uncomforta…  ( 9 min )

Modern applications ship fast. But fast releases come with risk. This is where ArgoCD Rollbacks become a true lifesaver — giving you a one-click, zero-downtime, Git-driven rollback mechanism that restores your Kubernetes cluster to a stable version in seconds, NOT hours. In this article, you’ll learn: What ArgoCD Rollback is Why it is essential for DevOps teams Real-world scenarios where it’s used How to implement rollback in a complete project Tools involved Best practices for production The importance of rollback in a GitOps workflow Let’s dive deep. ⭐ 1.What Is ArgoCD Rollback? ArgoCD rollback means restoring Kubernetes resources to a previously working Git commit that was successfully applied earlier. ArgoCD maintains: A full deployment history A visual timeline of all sync events The …  ( 8 min )

Intro Anaconda Code is an Excel add-in that enables users to execute Python or R code directly within Excel. It allows you to create custom Python functions for use in Excel workbooks. In addition, its package management support makes it easy to add or remove packages, significantly extending Excel’s capabilities. With these features, tasks such as querying external APIs for data become possible right inside Excel. In this tutorial, we will guide you through using Anaconda Code to query the IP2Location.io API and display the results in your workbook. The IP2Location.io service provides a fast and accurate IP geolocation API that allows users to determine a visitor’s geographical location and apply geolocation data in various use cases. Before we begin, please ensure that Anaconda Code is…  ( 8 min )

Events are often used to decouple logic and keep a system modular. Events allow for a very modular architecture. Your system emits events at different points in time and this allows you to create a completely independent and pluggable module which hooks into these events without needing to make any changes to the core part of your system. For example, you might create a Notification module which listens to various events in your system and sends e-mail, text messages, push notifications and performs other actions related to notifying your users. All of this without ever needing to change any part of your existing codebase. Your module can have a single responsibility, be completely self-contained and independent. For example, POS systems often have a local law requiring them to implement the payment system as a completely separate module. Without events and hooks this becomes impossible. You look at the code and see that everything depends on everything, the payment system is intermingled with every other part of the system. You throw your arms up in the air and say, no way, this can't be done. Payments are the very core of a POS system. It runs through everything. But that is just a sign of a badly architected system. It doesn't need to be this way. Everything should not depend on everything. That's a brittle system. With an event-driven, modular architecture you simply emit events and let the payment module hook into these events and handle the logic. Think of a radio broadcast (emitting events). The broadcaster simply broadcasts into the air. Anyone who wants to and has a radio (listener) tuned to the frequency hears the message. The broadcaster doesn’t know or care who’s listening.  ( 6 min )

Have you noticed how our world is built on abstractions? Abstractions are everywhere. We have abstractions in code - one library depends on another library which depends on another and so on. But it's not just code. We use abstractions every day. Every time you plug something into a wall outlet - you are using an abstraction, a huge electrical infrastructure with its own abstractions, completely invisible and hidden from you. When you drive your car, you don't operate with gears and wires, instead you turn a key, push a button, turn the steering wheel. You don't care how it works - you don't even want to know how it works. You're using abstractions to get where you need to go. Imagine a world without abstractions. Let's say you wanted to build a house. You'd need tools and materials but if…  ( 7 min )

Debugging a Django application running inside a Docker container can feel like trying to fix a car engine while it's still running—challenging, but definitely not impossible. If you've ever found yourself staring at cryptic error messages with no stack trace, or wondering why your breakpoints never trigger, you're not alone. This guide will equip you with the tools and techniques to effectively debug Dockerized Django applications. Docker containers are designed to be isolated, lightweight, and production-like. While this is great for deployment, it creates some unique challenges for debugging: Limited direct access to the running process Logs can be scattered or hard to follow Interactive debuggers require special configuration File system isolation makes it harder to inspect state Networ…  ( 15 min )

A lot of junior developers misunderstand DRY (Don't Repeat Yourself) as a strict rule against any code duplication. To them DRY means: never repeat a line of code never have two components share similar structure never write anything twice If something looks similar, they feel obligated to merge it, abstract it, or build a “super component” with flags and conditions. Of course, the result is always the same: Overcomplicated, brittle, unreadable code that was technically DRY — and practically unusable.. Imagine if a cookbook tried to follow the the DRY principle to the extreme. Instead of having separate recipes for different types of pizza, it would try to create one giant single pizza recipe that covers every possible variation - one "single universal pizza recipe". “Use tomato sauce unle…  ( 7 min )

When working on a shared GitHub repository, your workflow can either make collaboration smoothor create endless conflicts, broken code, and frustration. Many developers struggle with one common question: “Should I pull changes before starting new work, or should I code first and pull later?” The truth is: The most efficient and professional workflow always begins with pulling the latest changes before you start. This article breaks down the ideal Git workflow used by teams in top engineering organizations. 1. Always Start by Pulling the Latest Changes Before you write a single line of code, ensure your local environment is up to date. Pulling first guarantees: You’re working with the latest version of the project You avoid rewriting features that someone already updated You minimize merg…  ( 8 min )

Most MCP (Model Context Protocol) tutorials show you how to build local servers that connect to Claude Desktop via stdio. That's great for development, but what if you want your MCP server accessible from anywhere? What if you want it running on the edge with sub-50ms latency globally? I built an MCP server on Cloudflare Workers that provides semantic search using Vectorize and Workers AI. Along the way, I discovered the MCP SDK wasn't designed for serverless environments - so I had to adapt it. In this article, I'll show you: Why MCP on Workers is powerful (and tricky) Three different MCP architectures I built How to adapt the stdio-based SDK for HTTP A working semantic search implementation with Vectorize When to use each architecture By the end, you'll have the knowledge to deploy produ…  ( 13 min )

Sega’s Dreamcast was known for pushing boundaries and innovation. Among its most ambitious experiments was Seaman, a virtual pet / life-simulation that combined evolution, real-time care, and voice interaction. Long before ChatGPT and LLM-powered agents existed, Seaman gave us something similar in spirit: a creature that listened, remembered, responded, and evolved based on your interaction. The game used a microphone accessory plugged into the Dreamcast controller to let players speak to Seaman. The underlying voice-recognition engine was limited and supported only a vocabulary of around 100 words or short phrases. Rather than full natural-language parsing, Seaman used a navigation-style conversation model: the game anticipated likely user inputs from a predefined set of options, and ma…  ( 8 min )

Localization in Flutter sounds simple on paper: “Just use ARB files, run the generator, and you’re done.” Right? Right… until your app grows to hundreds of keys, multiple languages, different plural forms, nested folders, and a team of devs all touching the same translations. I’ve been there. Localization is one of the most annoying parts of Flutter development. Even with tools like easy_localization helping us generate code and structure files, there are still several pain points that never went away for me. So I built a tool to fix them — but let me start with the problems first. JSON files are fine when you have: title: “Hello” button_ok: “OK” button_cancel: “Cancel” But with real apps, things turn into this: settings.notifications.push_title settings.notifications.push_body profile.fo…  ( 12 min )

Sometimes, fixing a GPU on Linux feels less like tech work and more like a mystical quest. That was exactly my journey with an NVIDIA GTX 1050 on Ubuntu 24.04 LTS. Xorg kept crashing. Logs screamed about missing modules. The system would randomly freeze, then reboot. Despite having NVIDIA 535 installed earlier, only one monitor worked under the fallback modesetting driver. Nouveau was blacklisted, yet the GPU refused to fully awaken. Purged all nvidia-* drivers, blacklists removed. Verified that nouveau was not loaded. Kernel headers were up to date. Success? ✅ Partial. The system booted with modesetting, but Xorg was still using VESA, single monitor only, GPU idle. Installed NVIDIA 535 via apt, purged, reinstalled, repeat. Every time, nvidia-smi reported the driver version, kernel modules…  ( 7 min )

As developers, we all want clean, consistent code. Tools like pre-commit make this possible by automatically running linters, formatters, and other checks before a commit. However, if you’ve used them in a real project, you’ve probably encountered the dreaded commit-hook loop. I recently faced this issue while working on a Django project. Let me walk you through the problem and how I fixed it. I’m building a Django project with a typical Python stack: Django 5.x Python 3.12 Black for formatting Flake8 for linting isort for import sorting pre-commit for managing all hooks The goal is simple: enforce code quality automatically on every commit. Here’s the workflow I was using: git add . git commit -m "Some message" At this point, pre-commit hooks run automatically. If a hook fails (say Black …  ( 7 min )

Have you ever wondered what the little padlock 🔒 next to a website’s address actually means? Or why some URLs start with https:// instead of http://? Let’s break it down—no jargon, just clarity. The Problem with Plain HTTP HTTP (Hypertext Transfer Protocol) is the original way browsers talk to websites. But here’s the catch: it’s like sending a postcard through the mail. Anyone handling that postcard—your internet provider, a hacker on the same Wi-Fi, or even someone snooping on network traffic—can read everything on it. If you log in or enter your credit card on an http:// site? That data travels as plain text. Yikes. 💡 Think: Would you write your password on a postcard and drop it in a public mailbox? Probably not. Enter HTTPS: Your Digital Envelope HTTPS (HTTP Secure) fixes this by ad…  ( 7 min )

Look, we need to talk about async testing in Python. If you've ever stared at a ModuleNotFoundError: No module named 'trio' when you're just trying to test your FastAPI endpoints, you know the pain. You didn't ask for trio. You don't even know what trio is. You just want your tests to pass. Let's fix this properly. Here's the thing about async Python: your async/await code needs an event loop to run. That's not optional. And there are multiple event loop implementations out there: asyncio - Python's built-in standard library solution trio - Third-party library with structured concurrency curio - Another third-party option (less common these days) When you're testing async code with pytest, you need something to manage these event loops. Enter pytest-anyio - a plugin that's supposed to make…  ( 10 min )

Angular has taken a big leap forward with the introduction of Signals, a simpler and more intuitive reactivity model designed to solve long-standing challenges with change detection, manual subscriptions, and complex RxJS patterns. If you’re looking to write cleaner and more predictable Angular code, Signals are the game-changer you’ve been waiting for. What Are Signals? A signal is a special reactive variable. When its value changes, Angular automatically updates the UI — no subscriptions, no async pipes, no boilerplate. `import { signal } from '@angular/core'; const counter = signal(0); counter(); // returns 0 Think of a signal as a state container that “reacts” when changed. Why Should You Use Signals? No more manual subscriptions No subscribe() or unsubscribe() headaches. Predictable UI updates Only affected parts re-render. Cleaner component logic You read a signal like a function: mySignal(). Perfect for local and shared state Simplifies component state management dramatically. How to Use Signals in Angular Create a Signal count = signal(0); Read It in the Template Count: {{ count() }} ${this.firstName()} ${this.lastName()}); Whenever firstName or lastName changes, fullName updates instantly. Effects — Run Logic When Signals Change effect(() => { Perfect for API calls, logging, or reacting to state changes. Scenario Signals RxJS Signals are not replacing RxJS — they are simplifying many common cases where RxJS felt too complex. Angular Signals bring a modern, lightweight, and highly predictable reactivity model to Angular. Whether you're building small features or large applications, Signals help you write cleaner code with less mental overhead. If you haven’t tried Signals yet, now is the perfect time — your Angular workflow will feel faster, simpler, and more enjoyable.  ( 7 min )

A Deep, Extended, Example-Packed Article Managing memory properly in JavaScript is one of the most critical skills for building fast, stable, and scalable applications. Whether you're developing a complex frontend interface, a long-running SPA, a Node.js backend, or a real-time system, poor memory handling can cause slowdowns, UI freezes, increased RAM usage, or even total crashes. JavaScript has automatic memory management through its garbage collector, but automatic does NOT mean perfect. Incorrect coding patterns will easily prevent the garbage collector from doing its job — resulting in memory leaks and wasted resources. This article is a full deep dive, expanded far beyond the standard explanations, with plenty of examples, patterns, anti-patterns, best practices, and developer tests …  ( 10 min )

Here’s a concrete, simple example of what a Fiber node “looks like” and how it links to others, using a tiny DOM tree. Example JSX function App() { return ( Hello Click ); } Conceptual Fiber nodes React creates one Fiber per element/component. Each Fiber points to: return: parent Fiber child: first child Fiber sibling: next child at the same level stateNode: the real DOM node (for host elements like div/span/button) or instance (for class components) alternate: the other version of this fiber (current vs work-in-progress) for double buffering A rough, simplified shape (not exact internal names), for the initial mount: Root fiber (HostRoot) HostRootFiber = { tag: 'HostRoot', type: null, …  ( 8 min )

The modern platform for booking football pitches. Manage venues, track revenue, and book matches seamlessly. Live Demo: https://footbookr.vercel.app/ https://github.com/saidMounaim/footbookr Real-time Availability: Browse pitches and see live slot availability. Smart Booking: Filter by 5-a-side vs 7-a-side, date, and time. Digital Tickets: QR Code generation for seamless check-in at the venue. User Dashboard: Manage upcoming matches and view booking history. Social Login: One-click sign-in with Google or Email. Analytics Dashboard: Visual revenue charts, occupancy heatmaps, and KPI cards. Venue Management: Add or delete pitches with image uploads. Booking Control: View all reservations, cancel bookings, and manage schedules. User Management: View user stats and manage permissions. Framework: Next.js 16 (App Router, Server Components, Server Actions, Data Access Layer) Language: TypeScript Styling: Tailwind CSS Components: Shadcn UI (Radix UI) Database: PostgreSQL (via Prisma ORM) Authentication: BetterAuth Charts: Recharts / Shadcn Charts Icons: Lucide React Utilities: date-fns (Time), zod (Validation), react-hook-form (Forms)  ( 6 min )

Mujhe apni TCS CodeVita Contest ki performance ko dekhkar bahut khushi ho rahi hai aur haan abhi bhi improvements kiye hi ja sakte hain aur in fact har baar kiye ja sakte hain shayad yahi Science Community ko hamesha evolve karne ki prerna deti hai ki abhi jo paa liya bahut sahi ab aage aur achcha kya kar sakte hain aur phir usse bhi achcha aur is sab ko measure karna apni aur world ki past performance se yaani ki right progress with rights tools and right kind of tracking. To start karte hain is achievement tak aa pane ki kahani se. Pahle main bahut pareshan tha jabse ye taabeez maine pahni hai meri zindagi badal gayi Sorry Sorry Sorry main majaak kar raha tha ye kahani vaisi kahaniyon ki tarah nahin hai bas thoda mahaul ko light karne ke liye anyways pahle main apna motive clear kar doo…  ( 9 min )

Go to Azure Portal - App Registrations https://portal.azure.com/#view/Microsoft_AAD_RegisteredApps/ApplicationsListBlade Click - New registration Fill - Name Choose = Accounts in any organizational directory (Any Microsoft Entra ID tenant - Multitenant) Choose - Web Redirect URI: https://[host]/rest/oauth2-credential/callback Copy – Application (client) ID Click - Add a certificate or secret Click - New client secret Fill - Description Choose - Expires Click - Add Copy Value (Client Secret)  ( 6 min )

GlassiFy: a JavaScript library that creates liquid glass effects using dynamic SVG displacement. Key features: • Dual rendering modes – static frosted glass or animated turbulent surfaces Works natively with React, Vue, Angular, or vanilla JavaScript. The library applies sophisticated glass morphism without WebGL or heavy animation frameworks. 👉 Blog Post 👉 GitHub Repo 👉 Live Demo  ( 6 min )

Last week, I asked Claude to create a memory leak in Swift's Task API, for an amusement purposes. It gave me code and claimed the Task captures self strongly, creating a retain cycle. It suggested using [weak self]. I knew something was off. Tasks don't create retain cycles by default, that's literally their design advantage. I diasgreed with him and he started to explain why I am right. The problem is that other than trusting his words I did not have any other way to prove I am right. It turns out the Swift compiler creates something called SIL (Swift Intermediate Language) - an intermediate representation that shows exactly what the compiler does with your code before turning it into machine code. It's like looking at the compiler's notes. bash %14 = function_ref @(extension in Swi…  ( 7 min )

Pixelize Portfolio Nextjs Template is a modern one-pager template designed for creative professionals, developers, and designers who want to showcase their work online. Built using Nextjs and Tailwind CSS, it offers a fast, SEO-friendly, and fully responsive experience. Whether you’re launching your personal portfolio or promoting your freelance services, this Free Landingpage Template delivers smooth scrolling, clean design, and effortless customization to help you stand out from the crowd. Key Features ⚡ Built with Next.js & Tailwind CSS – Ensures blazing-fast performance and easy customization. 🎨 Clean & Minimal Design – Highlights your content beautifully without distractions. 📱 Fully Responsive Layout – Looks perfect on desktops, tablets, and smartphones. 🧩 One Pager Structure – Ideal for personal portfolios, agencies, or resumes. 🔍 SEO Optimized – Helps your portfolio get discovered easily on search engines. 🌈 Modern Animations – Adds a touch of interactivity and visual appeal. Why Choose Pixelize Portfolio Nextjs Template? 💡 Creative Presentation Perfect for showcasing design projects, case studies, or personal achievements in a visually stunning layout. 🚀 High Performance Powered by Next.js for lightning-fast load times and optimized code delivery. 🧠 Easy Customization Tailwind CSS utility classes make it simple to change colors, fonts, and layout within minutes. 🌐 Free & Developer Friendly As a Free Landingpage Template, it’s ideal for developers who want a ready-to-use, scalable portfolio base. 📄 SEO Ready Structure Built with semantic HTML and optimized metadata for better Google ranking and visibility. Conclusion The Pixelize Portfolio Nextjs Template is the perfect choice for anyone looking to build a professional one-pager website without starting from scratch. Combining performance, simplicity, and a modern interface, this Nextjs Template helps you create a strong online presence with minimal effort. 👉 Live Preview | Download now  ( 7 min )

Watch this on YouTube: DevFest Vienna 2025 Online Navigation Online navigation works quite similarly to offline navigation, only the tools differ greatly. For online navigation, we mainly have zoom, screen magnifiers, and screen readers (or SR for short). Zoom and screen magnifiers are pretty easy to wrap your head around, either because you tested it on purpose or accidentally hit Ctrl while trying to scroll and got a jump scare by gigantic UI elements: They make things big. Checks out. But screen readers are more intimidating at first. You boot them up and suddenly everything starts talking! Most of us are not particularly fond of their device issuing unexpected noises because it’s usually a bad thing. While text-to-speech (or TTS for short) is the intended functionality o…  ( 16 min )

This post is my submission for DEV Education Track: Build Apps with Google AI Studio. The core functionality relies on a single multimodal API call. The key prompt I crafted was designed to leverage both image and text inputs: "Analyze the image’s aesthetic and colors, then generate a detailed 3D doodle-style creature sticker that reflects '[User’s Personality Notes]' and matches the image’s style." I utilized the Studio's multimodal capabilities and the Prompt Engineering interface to rapidly iterate on the visual style and consistency. Here is a quick look at the user experience, from input to output: Input: The user shares a photo and simple text notes. Output: The generated, custom DoodleMate. Working through the Google AI Studio track offered several key takeaways and surprises: 💡 What I Learned Prompt as Code: The process truly felt like "prompt engineering." Tweaking words like "3D sticker," "whimsical," or "charming" acted like visual parameters, allowing me to refine the product's aesthetic without touching any traditional code. 🤯 What Was Surprising If you're looking for a quick, creative project, using Google AI Studio for multimodal tasks is the perfect way to turn pixels into personality!  ( 7 min )

A post by Lerwee  ( 6 min )

This post is my submission for DEV Education Track: Build Apps with Google AI Studio. The core functionality relies on a single multimodal API call. The key prompt I crafted was designed to leverage both image and text inputs: "Analyze the image’s aesthetic and colors, then generate a detailed 3D doodle-style creature sticker that reflects '[User’s Personality Notes]' and matches the image’s style." I utilized the Studio's multimodal capabilities and the Prompt Engineering interface to rapidly iterate on the visual style and consistency. Here is a quick look at the user experience, from input to output: Input: The user shares a photo and simple text notes. Output: The generated, custom DoodleMate. Working through the Google AI Studio track offered several key takeaways and surprises: 💡 What I Learned Prompt as Code: The process truly felt like "prompt engineering." Tweaking words like "3D sticker," "whimsical," or "charming" acted like visual parameters, allowing me to refine the product's aesthetic without touching any traditional code. 🤯 What Was Surprising If you're looking for a quick, creative project, using Google AI Studio for multimodal tasks is the perfect way to turn pixels into personality!  ( 7 min )

✅ Prerequisites Before we begin, make sure you have: 🐍 Python 3.10+ installed 💻 A code editor (VS Code, Cursor, etc.) 🖥️ Basic command line knowledge First, let's create a directory for our project and set up a clean Python environment. Open your terminal and run: # 1. Create the project folder mkdir mcp-unit-converter cd mcp-unit-converter # 2. Create a virtual environment python -m venv venv 3. Activate the environment: On Windows: venv\Scripts\activate On Mac/Linux: source venv/bin/activate 4. Install the MCP SDK: pip install mcp[cli] We will use the FastMCP class to build our server quickly. Create a file named converter.py. This code defines tools for converting: 🌡️ Temperature (Celsius/Fahrenheit) 📏 Length (Meters/Feet) ⚖️ Weight (Kg/Pounds) from mcp.server.fastmcp im…  ( 8 min )

File Upload Security Issues: A Comprehensive Guide Introduction: File upload functionality is a ubiquitous feature in modern web applications. From profile pictures and documents to media files and configuration data, users frequently need to upload files to servers. While providing convenience and expanding functionality, this feature also introduces a significant attack surface. Poorly implemented file upload processes can open the door to various security vulnerabilities, ranging from denial-of-service attacks to remote code execution, compromising the integrity, confidentiality, and availability of web applications and their underlying infrastructure. This article delves into the critical security issues surrounding file uploads, outlining common threats, mitigation strategies, and b…  ( 10 min )

Introduction When installing Tailwind CSS v4 in a React + Vite environment, Cannot find module 'function qt(e={}){...}' Require stack: - postcss.config.js This article summarizes how to fix this error. The Tailwind v3 configuration is being used for Tailwind v4. Doesn't work with Tailwind v4. export default { plugins: { tailwindcss: {}, autoprefixer: {}, }, }; Create (or modify) src/index.css. @tailwind base; @tailwind components; @tailwind utilities; Change postcss.config.js to the v4-specific syntax: import tailwindcss from "@tailwindcss/postcss"; export default { plugins: [ tailwindcss(), ], }; Tailwind styles are back, and the layout is back to normal.  ( 6 min )

I remember when Blazor was the weird kid at the .NET party. "You want to run C# in the browser? That's adorable." Fast forward to 2025, and Blazor in .NET 10 is no longer the underdog—it's a genuine contender. Blazor has always worked. But some patterns required more ceremony than they should. .NET 10 finally streamlines the rough edges. Here's what many developers experienced. You start a Blazor project. You're excited. You write components. They work. Life is good. Then your boss says: "Why does the page flash white during navigation?" And you discover prerendering. And hydration. And the double-render problem. The framework handled all of this—but you had to write the wiring yourself. Serializing state manually, juggling OnInitializedAsync vs OnAfterRenderAsync, building abstractions th…  ( 14 min )

In today’s digital world, businesses are constantly looking for smarter ways to reach the right audience. For a long time, improving visibility online meant working on SEO (Search Engine Optimization). But now, there’s another approach becoming increasingly relevant — GEO (Geographic Engine Optimisation). If you’ve encountered “GEO” somewhere and wondered what it means — and how it differs from SEO — this guide aims to clarify both concepts simply. What Is GEO? GEO is a marketing approach that optimizes a website’s content for specific geographic locations rather than a broad, global audience. Instead of generic content targeting high-volume global keywords, GEO customizes offerings to people in particular cities, states, or regions. In short: SEO helps your website rank for a keyword, glo…  ( 8 min )

HTML forms have been around forever, but honestly, most developers are still writing the same basic forms they learned years ago. Meanwhile, HTML has been quietly adding powerful attributes that can save you from writing tons of JavaScript. I’m talking about validation, user experience improvements, and accessibility features that are just sitting there, ready to use. Your support matters. You can read and support the original version of this story on Medium. 30 HTML Form Attributes You’re Not Using (But Should) Let me walk you through 30 form attributes that you’re probably not using but absolutely should. These aren’t obscure features. They’re well-supported, practical, and they’ll make your forms better today. Note: Browser support listed shows minimum versions. Most attributes work in …  ( 13 min )

The Problem with Productivity Apps When my semester wrapped up, I knew exactly what came next: a focused stretch of interview prep and personal learning. I wanted to set clear goals and track my progress properly, not in a vague “I think I did something today” way but with real structure and accountability. Naturally, I turned to productivity and habit-tracking apps. Too Slow: Switching contexts to a separate app and clicking through menus just to log a task felt cumbersome and killed my flow. Too Distracting: Notifications, overly complex UIs, and features I didn't need turned "checking a box" into a time-sink. I realized what I needed wasn't another habit tracker; it was a system built for speed and duality. I needed to be able to log a quick win in the terminal without leaving my codi…  ( 8 min )

Why I'm Sharing This I'm sharing my journey and knowledge to inspire others - especially tech-loving and open-source-loving people. This is how I learned, how I built, and how I think. Maybe it can help or inspire someone else. About Open Source: Right now, my mindset is that I like to donate my works to open source. I believe in sharing knowledge and code freely with the community. I don't know what the future holds or how my thinking might change, but today, this is what I believe in - contributing to the open-source ecosystem and making my work available for everyone. I'm 17 years old, and I created Qeltrix (V1-V6) - a cryptographic file container system. But here's what makes this journey unique: I didn't write most of the code traditionally. Instead, I designed the entire architectu…  ( 14 min )

Barefoot shoes are a modern type of footwear designed to give the feeling of walking barefoot while still protecting your feet from the ground. Unlike traditional shoes with thick soles and heavy cushioning, barefoot shoes are thin, flexible, and shaped like the natural human foot. They allow your feet to move freely, strengthen muscles, and improve balance—just like nature intended. What Are Barefoot Shoes? Key Features of Barefoot Shoes Zero Drop Sole The sole is flat from heel to toe. There is no raised heel. This encourages natural walking posture and reduces pressure on knees and back. Wide Toe Box The front area of the shoe is wider than normal. This allows the toes to spread out naturally, improving balance and stability. Thin and Flexible Sole The sole is usually 3–10 mm thick. It …  ( 8 min )

When I started learning cybersecurity, I understood the basic idea of hashing and encryption. But later I saw that the real world uses many extra pieces like TLS, RSA, HMAC, PBKDF2, Argon2, cipher suites, trust chain, PKI, and more. These are all connected. In this article I try to explain how hashing, encryption, and encoding work in real cybersecurity systems. ✅ 1. Encoding: Format Change Only Encoding only changes data format. It does not give security. Examples: Base64 URL encoding ASCII UTF-8 Encoding is used for transport or compatibility, not protection. ✅ 2. Hashing: One Way Protection Hashing creates a fixed-size output called a message digest. Important hashing terms Message digest – the result of a hash function Collision – two different inputs produce the same hash Collision re…  ( 9 min )

Performance of web applications is critical for several reasons. The first thing it does is change how users feel. User frustration and eventual product abandonment can result from pages and apps that take too long to load. Search engines also heavily consider how fast a website loads. Particularly, Google has acknowledged that page load times are considered by all of its product ranking algorithms. Conversion rates and income can both benefit from faster page loads. Users have high expectations when they visit your website. They might not be very understanding if the site takes a while to respond. People prefer websites that take less than two seconds to load. If there's any kind of delay beyond this point, the user is likely to leave the site, which will dramatically increase your bounce…  ( 11 min )

Table of Contents 1.Introduction If you’re just getting into fishing, one of the first things you’ll face is choosing the right type of reel. It might sound simple, but ask any angler, and you’ll get a dozen different opinions! The biggest debate? Whether beginners should start with a bait casting reel or stick with a spinning reel combo. This guide breaks down both options in plain, easy-to-follow language so you can decide which reel fits your fishing journey best. By the end, you’ll know which one helps you learn faster, cast smoother, and hook more fish with confidence. A bait casting reel is all about control and precision. It sits on top of the rod, with the spool spinning as you cast. That design lets you drop your lure exactly where you want it, which is a huge deal if you’re ch…  ( 8 min )

This is Day 3 of the Building a SaaS Solo - Design, Implementation, and Operations Advent Calendar 2025. Yesterday's article covered "Tech Selection for AI-Driven Development." Today, I'll explain the overall project structure using Next.js + Supabase + Vercel. For Memoreru, which I'm developing, I adopted the Next.js + Supabase + Vercel stack. This combination is a popular choice for indie development. There are alternatives like Neon for databases or Cloudflare for hosting. I recommend comparing features and plans to find what works best for you. At my previous company, releasing a product involved these steps: Build and publish modules Upload to Azure KUDU Verify on staging environment Manually switch between staging and production With Vercel, all of this is automated by just pushing t…  ( 8 min )

Data engineering is evolving rapidly. Automation, artificial intelligence (AI), and low-code/no-code platforms are reshaping how organizations collect, process, and use data. These trends make operations faster, more efficient, and accessible to a wider audience, enabling better business decisions and competitive advantage. Shape *Automation: Streamlining Data Operations Automation is transforming traditional data engineering. Repetitive tasks like ETL (Extract, Transform, Load), schema validation, and pipeline orchestration are now handled by intelligent systems. Tools such as Apache Airflow, AWS Glue, Google Cloud Dataflow, and Databricks Delta Live Tables simplify workflows, improve reliability, and scale easily. *Real-World Examples: Netflix automates data ingestion and transfor…  ( 8 min )

Uatu is an AI agent that troubleshoots your servers using Claude. It connects symptoms across CPU, memory, network, and disk to find root causes. $ uatu You: why is my server slow? Uatu investigates: checks load average, finds high CPU processes, analyzes memory pressure, looks for I/O bottlenecks. $ journalctl -u myservice | uatu "why did this crash?" Uatu analyzes the logs and correlates with system state. Commands require approval before execution: ⚠ Bash Command Approval Required Risk Level: Standard du -sh /var/log/* | sort -rh | head -10 ○ Allow once → Always allow 'du' ○ Deny Approval prompts with risk categories Allowlist for auto-approving safe commands Audit log tracks all security decisions Read-only mode uses MCP tools only (no bash) Dangerous patterns (credential…  ( 7 min )

Most “free” marketing resources come with invisible strings. UpMails started in 2024 as an internal wiki for our micro-agency VectorForge. Every time we cracked a campaign, we documented the exact steps, screenshots, and KPI deltas. One afternoon a junior strategist asked, “If this works so well, why keep it client-only?” We couldn’t think of a good answer, so we stripped the branding, exported the Notion, and shipped everything to a $5 VPS. Traffic doubled overnight—turns out marketers love assets that don’t ask for anything back. https://upmails.eu No signup. No paywall. No guilt. Go make something bigger—we’ll keep adding fuel to the fire.  ( 7 min )

Large Language Models (LLMs) have become incredibly powerful at generating fluent, human-like text. But they come with a major flaw: In this post, we’ll understand why hallucinations happen and explore practical reasoning-based techniques to reduce them. Hallucination isn't a bug — it's a natural consequence of how LLMs work. LLMs are trained to predict the next token, not to verify facts. If the model has never seen a particular fact or topic clearly in training data, it will guess based on patterns. Rare topics Very new information Domain-specific technical questions If a prompt presupposes a false fact, the model tends to follow the user’s framing. A naïve model will try to answer instead of correcting you. LLMs don’t have a database or knowledge graph by default. How to Reduce Hallucin…  ( 8 min )

The feed never ends. LinkCircle is a small, editorial platform where real website owners publish original, helpful articles—no ghost-written fluff, no SEO Mad Libs, no “we inserted the keyword 47 times so you don’t have to.” Every piece is reviewed by a human editor (hi, that’s me) before it goes live, and every author has to prove they actually own the site they’re talking about. The result is a living library of insights you can trust, written by people who’ve skin in the game. https://linkcircle.eu No algorithms. No growth hacks. Just people sharing what they learned the hard way.  ( 7 min )

Transforming Visitors into Loyal Leads: Mastering Elementor's Form Widget for WordPress In the dynamic world of digital marketing, capturing user attention is one thing; retaining it and converting casual visitors into engaged leads is an entirely different challenge. Many website owners grapple with high bounce rates, seeing potential customers leave their site without any interaction. For businesses built on WordPress, harnessing the right tools is paramount to overcoming this hurdle. This is where Elementor, the leading drag-and-drop page builder, steps in, offering a robust solution that empowers you to forge meaningful connections: its versatile Form Widget. Why Engagement Matters: The Core of Digital Success Imagine a potential client landing on your meticulously designed website. Th…  ( 8 min )

Integrate Voice AI with Salesforce for Lead Qualification TL;DR Most Salesforce voice integrations break when leads hang up mid-qualification—you lose partial data and can't resume. Here's how to build a VAPI voice agent that writes lead scores to Salesforce in real-time, handles interruptions, and triggers workflows based on qualification criteria. Stack: VAPI for voice AI, Twilio for telephony, Salesforce REST API for CRM writes. Outcome: Automated lead qualification that captures every interaction, even incomplete calls, and routes hot leads instantly to sales reps. API Access: VAPI API key (from dashboard.vapi.ai) Salesforce Connected App credentials (Consumer Key + Secret) Twilio Account SID + Auth Token (for phone number provisioning) OAuth 2.0 refresh token for Salesfor…  ( 16 min )

Unlock Engagement: Master the Elementor Form Widget for WordPress Lead Generation In the dynamic world of digital marketing, your website is often the first point of contact with potential customers. But simply attracting visitors isn't enough; the real challenge lies in transforming those fleeting visits into meaningful interactions and, ultimately, loyal customers. For WordPress users, the answer to this critical need often lies in powerful tools that facilitate seamless communication. This is where the Elementor Form Widget shines, providing a robust, intuitive, and highly customizable solution to capture leads, gather feedback, and enhance user engagement directly on your site. Many website owners struggle with bounce rates, where visitors arrive, look around, and leave without taking …  ( 9 min )

AWS and Google have announced a collaborative multi-cloud network solution, marking one of the industry’s most unexpected yet impactful partnerships. The solution aims to solve the growing complexity enterprises face as they deploy workloads across different cloud platforms. It enables consistent performance, shared security policies, and automated connectivity between AWS and Google Cloud environments. This move is trending as organizations increasingly lean toward multi-cloud for flexibility, redundancy, and cost efficiency. Background & Context Key Facts / What Happened multi-cloud network solution provides interoperable routing between AWS and Google Cloud, allowing workloads to communicate without manual configuration overhead. It includes integrated security segmentation, shared traf…  ( 7 min )

React is a great tool for making user interfaces because it is modular, can be used again and again, and renders quickly with the virtual DOM. But there are unique difficulties to be aware of when dealing with React. Complex issues such as scalability, productivity tuning, and state management require a combination of technical knowledge and analytical thinking on the part of developers. Here we'll take a look at the most common challenges encountered by React developers and provide some practical solutions on how to fix them. Managing different kinds of data and state is a common requirement for React applications. Efficiently managing state across components can become more challenging as your application grows. Sharing and syncing state across numerous components can cause confusion and…  ( 13 min )

For the Kiroween Hackathon 2025, our mission was simple: blend the ultra-minimalist, nostalgic aesthetic of the late '90s web with a powerful, real-time network engine. The result is NetSpeak, a fully functional, ugly-chic chat application. It might look like it runs on a 56k modem, but under the hood, it's blazing fast. The Stack: Old Look, New Muscle We kept the frontend deliberately bare-bones (vanilla HTML, CSS, JS) to nail that retro vibe. However, the communication layer is all modern efficiency: Backend: Node.js / Express.js Real-time: Socket.IO Aesthetic: Pure, unadulterated, intentionally bad CSS. The contrast is the core feature: incredibly low-latency performance hidden behind a deliberate commitment to nostalgia. The Secret Weapon: Kiro AI Frankly, we couldn't have finished NetSpeak in time without Kiro, our AI-powered IDE. Kiro's lightweight design and streamlined UI/UX were game-changers. The AI Autopilot feature was particularly invaluable. It took over the scaffolding of our Express server and the complex setup of our real-time Socket.IO connections. By continuously catching and correcting small syntax and logic errors, Kiro allowed us to focus purely on the core concept and design implementation, dramatically accelerating our development cycle. Conclusion NetSpeak is a testament to what's possible when you couple a minimalist vision with maximum-power AI tooling. It was a blast to build, and we're proud of the hauntingly efficient performance we achieved. Developed for the Kiroween Hackathon 2025.  ( 6 min )

Look, we all started 2025 with a beautiful spreadsheet. Color-coded tabs. Projected ROI that would make a CFO weep with joy. Maybe you even had a deck with those gradient charts that look impressive in meetings. And then reality happened. Here's the thing about marketing budgets: they're aspirational documents masquerading as financial planning. By December, that meticulously planned allocation looks about as accurate as a weather forecast from six months ago. The paid social budget got blown in Q2 when CPMs spiked. The content strategy pivoted three times. And that experimental budget for "emerging platforms"? Yeah, nobody can quite remember what that money actually bought. But December is when we get honest. Not because we're suddenly virtuous, but because Q1 2026 budget decisions are ha…  ( 13 min )

Connecting n8n's visual workflow automation with LangBot's multi-platform bot framework creates a powerful, code-free way to deploy AI chatbots across QQ, WeChat, Discord, Telegram, Slack, and more. This tutorial shows you how to integrate these tools in minutes. Python 3.8+ installed Node.js 18+ installed npm or npx available 15 minutes of your time LangBot is a production-ready bot framework that connects to multiple messaging platforms and AI services including Dify, FastGPT, Coze, OpenAI, Claude, and Gemini. Deploy it instantly: cd your-workspace mkdir -p langbot-instance && cd langbot-instance uvx langbot@latest On first launch, LangBot initializes automatically. Open http://127.0.0.1:5300 in your browser. Register your admin account when prompted. You'll land on the dashboard where…  ( 8 min )

🔎 ML Observability & Monitoring — The Missing Layer in ML Systems Part 7 of The Hidden Failure Point of ML Models Series Most ML systems fail silently. Not because models are bad… Not because algorithms are wrong… But because nobody is watching what the model is actually doing in production. Observability is the most important layer of ML engineering — yet also the most neglected. This is the part that determines whether your model will survive, decay, or collapse in the real world. Traditional software monitoring checks: CPU Memory Requests Errors Latency This works for software. But ML models are different. They fail in ways standard monitoring can’t detect. three extra layers: Data monitoring Prediction monitoring Model performance monitoring Without these, failure…  ( 9 min )

Leave a comment below to introduce yourself! You can talk about what brought you here, what you're learning, or just a fun fact about Reply to someone's comment, either with a question or just a hello. 👋 Come back next week to greet our new members so you can one day earn our Warm Welcome Badge!  ( 6 min )

I originally posted this post on my blog. I'm not an AI evangelist, and I'm not a hater either. I've tried AI for coding. And after a week or two, I noticed how dependent I was becoming. Since then, I've used AI for small coding tasks, like generating small functions or finding typos, not to treat English as my main programming language. Marcus Hutchins, a security researches, puts it boldly in his post Every Reason Why I Hate AI and You Should Too: I'd make a strong argument that what you shouldn't be doing is "learning" to do everything with AI. What you should be doing is learning regular skills. Being a domain expert prompting an LLM badly is going to give you infinitely better results than a layperson with a "World’s Best Prompt Engineer" mug. I agree with the core message. When everybody is relying on AI, it's time to go back to old-school habits: Read code Write trustworthy tests Devour classic textbooks Troubleshoot bugs with pen and paper And outside coding: read books on paper, take notes by hand, and write our own summaries. To develop taste and judgment. Using AI is like holding a calculator on a math exam. Even the best calculator is useless if you don't know what to compute. Build skills, then leverage AI. I used to think coding was only about cracking symbols. That's where AI shines. But coding is also about talking to non-tech managers, negotiating deadlines, and saying no politely. And that's why I wrote, Street-Smart Coding: 30 Ways to Get Better at Coding, to share the skills I wish I'd learned to become a confident coder. Get your copy of Street-Smart Coding here. It's the roadmap I wish I had when I was starting out.  ( 7 min )

AI is transforming software engineering faster than ever, but instead of replacing human developers, it’s becoming a powerful partner. Together, humans and AI are shaping a future where development teams are more productive, creative, and impactful. The future of coding isn’t about competition—it’s about collaboration. AI tools are great at handling repetitive tasks like generating code, running tests, and spotting bugs. This frees developers to focus on the parts of the job that machines can’t handle: creative problem-solving, strategic thinking, and designing solutions that really fit business needs. Humans bring something AI can’t replicate—contextual understanding, ethical judgment, and the spark of innovation. While AI can crunch data and suggest improvements, it’s the human developer…  ( 7 min )

Building a Horror Game in 8 Hours with Kiro AI For the Kiroween 2025 hackathon, I built Layers of Static - a psychological horror experience disguised as a vintage 1970s CRT television. The twist? An AI lives inside it, asking disturbing questions and giving creepy dares. The real story isn't what I built. It's how I built it. The hackathon's "Frankenstein" category challenged us to stitch together incompatible technologies into something unexpectedly powerful. My chimera: 1970s CRT aesthetics (scanlines, phosphor glow, chromatic aberration) Modern AI (Google Gemini for conversation) Voice synthesis (ElevenLabs TTS with a little girl's voice) Web Audio API (music box loops, audio ducking, sound effects) Normally, this would take weeks. With Kiro, I shipped in 8 hours. Kiro is an AI-power…  ( 9 min )

title: "A-Modular-Kingdom - The Infrastructure Layer AI Agents Deserve" https://masihmoafi.com/blog/a-modular-kingdom A-Modular-Kingdom The infrastructure layer AI agents deserve Every AI agent I built had the same problem: I kept rebuilding the same infrastructure from scratch. RAG system? Build it again. Long-term memory? Implement it again. Web search, code execution, vision? Wire them up again. After the third project, I stopped. I extracted everything into a single, production-ready foundation that any agent can plug into via the Model Context Protocol (MCP). A-Modular-Kingdom is that foundation. Start the MCP server: python src/agent/host.py Now any AI agent—Claude Desktop, Gemini, custom chatbots—instantly gets: Document retrieval (RAG) with Qdrant + BM25 + CrossEncode…  ( 8 min )

🟦 UNIT – I : Linux Introduction, File System & Basic Commands ⭐ 1. Introduction to Linux Linux is a free, open-source, secure and stable operating system. Based on UNIX, widely used in: Servers Cloud systems Networking Cybersecurity Development Known for: High security Fast performance Virus resistance Multiuser environment 2. Basic Features of Linux Multiuser & multitasking Portable & open-source Strong networking support Highly customizable Powerful shell & scripting 3. Flavors (Distributions) of Linux Common Linux distros: Ubuntu Debian RedHat (RHEL) Fedora CentOS Kali Linux Linux Mint 4. Advantages of Linux Free & open source Highly stable Virus free Powerful command line Supports programming & servers Community support 5. How Linux Accesses Files Linux uses…  ( 9 min )

Executive Summary The rapid integration of Large Language Models (LLMs) into production software has exposed a critical interoperability bottleneck. As developers attempt to bridge the gap between reasoning engines (like Claude 3.5 Sonnet, GPT-4o) and proprietary data sources (PostgreSQL, Slack, GitHub), the industry faces an "N×M" integration problem. Every new model requires unique connectors for every data source, resulting in fragmented, brittle ecosystems. The Model Context Protocol (MCP), introduced by Anthropic in late 2024, emerges as the "USB-C for AI," establishing a standardized, open-source specification that decouples intelligence from data. This report serves as an exhaustive technical resource designed to enable a development team to implement, deploy, and disseminate MCP …  ( 15 min )

Today is about Phishing🦈. Day 2 Room Link. Attackbox and Targetbox. TryHackMe lets us spin up a GUI Attackbox for 1 hour each day; Targetbox dont have a such limit. Or, I can use my own laptop as the Attackbox; Or I can use a linux VM in Virtualbox and use that as my Attackbox For option 2,3 we have to be in the same network as the Targetbox, hence install Openvpn and download+import TryHackMe's networking configuration file(.ovpn). TryHackMe has a practice room for a step-by-step guideline. But for today's tasks it's better to use their Attackbox; a server.py file is made for us to use. In fact the Attackbox usually comes equipped with lots of tools that we may need to solve a room... unless you already have a 5TB fully loaded kali linux VM in your machine to h@ck planet Mars. In task …  ( 7 min )

Introduction The Model Context Protocol (MCP) is transforming how AI applications interact with data sources. While weather servers and basic examples are great starting points, most real-world applications need database access. In this guide, we'll build a production-ready MCP Server for PostgreSQL that allows Claude, VSCode, and any MCP client to query your database safely and efficiently. By the end, you'll have: A fully functional PostgreSQL MCP Server Examples for SELECT queries, aggregations, and data retrieval A public repository you can deploy to production Integration with Claude Desktop and other MCP clients Imagine asking Claude: "What are our top 10 customers by revenue this quarter?" Or: "Show me all incidents from the past 7 days with critical severity." With a PostgreSQL M…  ( 9 min )

Lifecycle rules: improve security Better maintenance of resources control over the resources There are 6 rules to manage the lifecycle ignore_changes prevent_destroy replace_triggered_by create_before_destroy precondition postcondition 1. Create before destroy: This reduces the downtime while making changes (Zero-downtime deployment) example: // main.tf // Create before destroy to avoid downtime resource "aws_instance" "instance" { ami = "ami-0f64121fa59598bf7" instance_type = "t3.micro" region = tolist(var.allowed_region)[0] tags = var.tags lifecycle { create_before_destroy = true } } 2. Prevent destroy: // main.tf // prevent destroy to avoid accidental deletion resource "aws_s3_bucket" "bucket" { bucket = "${var.username}-bucket-${var.environment}-d…  ( 7 min )

The Real Challenge in E-commerce Data Collection When building an AI-powered product selection model, you quickly face a frustrating reality: data services claiming "comprehensive coverage" often capture less than 40% of front-end visible products. This isn't a data quality issue—it's a technical ceiling. Over the years of building e-commerce data collection systems, I've encountered countless challenges and finally developed a solution that consistently achieves 95%+ coverage of front-end visible products. Today, I'm sharing this complete technical approach with you. Before diving into the technical solution, we need to clarify a critical question: What exactly does "coverage rate" mean? Amazon's category database may store millions of ASINs, but these products exist in vastly different…  ( 10 min )

Introduction: Ethereum’s Most Ambitious Step Since the Merge Today marks one of the most significant milestones in Ethereum’s technical history the Fusaka upgrade is now live on mainnet. Activated on December 3, 2025, Fusaka fuses together the Osaka execution layer update and the Fulu consensus layer update, forming what the community collectively calls “Fusaka.” This isn’t just another hard fork — Fusaka represents a full-stack architectural evolution. It redefines Ethereum’s data availability layer, economic structure, and execution performance, laying the foundation for rollup scalability without compromising decentralization. At the heart of this upgrade lies PeerDAS (Peer-to-Peer Data Availability Sampling) — a system that allows nodes to verify data without downloading it all. Alon…  ( 9 min )

A purely monetary view of yacht maintenance and living costs misses a critical factor: the value of your own labor. For the hands-on liveaboard, time and skill are a direct currency that can be exchanged for dramatic cost savings. Calculating this “Owner-Operator Dividend” reveals the real economic picture and highlights the skills with the highest return on investment. To quantify savings, first establish a local market rate for marine labor. In many cruising areas, skilled technician rates range from $80 to $150 per hour. This becomes your “credit rate”—the amount you save for every hour of competent work you perform yourself. Not all tasks offer equal savings. Focus on high-frequency, moderately complex jobs that have a high labor-to-parts cost ratio. Top Tier (Highest Dividend): Preve…  ( 7 min )

Rust is not the first language that comes to mind when people think about data science. Most learners start with Python or R because of their libraries and simpler learning curve. However, Rust is gaining attention due to its speed, reliability, and ability to handle large-scale computations efficiently. Developers who work on performance-heavy systems or want safer, low-level control are exploring Rust as an option. This growing interest naturally raises a question: Can Rust support data science tasks well enough to be considered a practical choice? Rust can be good for data science, but the answer depends on what you need. It is fast, memory-safe, and reliable, which makes it suitable for large datasets and production-grade systems. However, Rust’s data science ecosystem is still develop…  ( 8 min )

🟦 UNIT – I : OS Basics, Types, Services, Structure, System Calls ⭐ 1. Operating System – Definition An Operating System (OS) is system software that manages computer hardware, executes programs, and provides a user-friendly environment for running applications. It acts as an intermediary between user and hardware. 2. Functions of Operating System Process Management Creates, schedules, and terminates processes. Memory Management Allocates memory to programs. Performs deallocation when program ends. File Management Creates, deletes, and organizes files. Device Management Controls hardware devices (printers, disks, keyboard). Security & Protection Prevents unauthorized access. Error Detection Detects and handles system errors. Resource Allocation Manages CPU, memory, disk,…  ( 10 min )

Hey devs and hardware hackers! In the wild world of embedded systems, where processing power meets programmable flexibility, few chips pack the punch of Intel's Arria 10 series. Today, we're cracking open the 10AS016E4F27E3SG—a beast of an SoC FPGA that's redefining what's possible in edge computing, real-time control, and AI-accelerated prototypes. Whether you're building industrial robots, 5G gateways, or custom video pipelines, this little (well, not-so-little) guy is your ticket to high-performance without the bloat. Core Processor: Dual ARM Cortex-A9 MPCore with CoreSight debug—up to 1.5 GHz. Run embedded Linux (hello, Yocto builds!) or bare-metal RTOS for deterministic control. Compared to older Xilinx rivals or even Intel's own Cyclone line, the 10AS016 shines in transceiver densi…  ( 9 min )

Neo Do you always look at it encoded? Cypher Well you have to the image translators work for the construct program but there's way too much information to decode the Matrix. You get used to it. I, I don't even see the code. All I see is blonde, brunette, redhead. At the dawn of Internet commerce, Berners-Lee invented a simple document exchange and reader. Microsoft, then the gatekeeper to computer users with its flawed Windows 3.1 along with slow dial-up birthed CSS/JS, which turned the browser into a massive local executable to handle rendering and state. That historical accident created every front-end dev career. Built for ambiguity, human-centric computing—web GUIs, touch screens, the Matrix of our present reality—will be going away. The future has no need for your front-end f…  ( 9 min )

Almost all top AI apps' paywalls share one pattern: capability you've already felt the need for—right when you hit that need. Top-converting paywalls show up at high-intent moments—during your first session or when you hit a usage limit—and frame the upgrade as unlocking a capability you just tried to use. Contextual gating flow drives 12% median conversion vs. 2% for generic freemium Trigger at Capability ThresholdsGate when users try to access a premium feature or hit limits—not on settings pages. ChatGPT shows the paywall when you switch models; you understand exactly what you're paying for. 2.Lead with ONE Hero Tier ChatGPT has "Plus." Claude has "Pro." A single recommended tier reduces decision fatigue. Use a clear feature grid—avoid vague promises like "Premium Features." Convert Li…  ( 7 min )

For years we’ve circled around the same debate: The argument is familiar. Every re:Invent, my attention usually gravitates toward new features: better serverless capabilities, smarter managed services, or breakthrough technologies that unlock new design patterns. At a high level, it looks like a straightforward agreement: improve private connectivity between the two clouds, reduce complexity, and remove some historical pain points that made multicloud networking feel like a chore. Anyone who has tried to stitch AWS ↔ Google Cloud manually knows exactly what that pain feels like. However, the implications run deeper. This partnership opens the door to a possible future where cloud systems become increasingly agnostic, where architectural decisions are driven by capabilities—not by the limitations of network plumbing between providers. Yet there’s another way to read this move: Whether this collaboration becomes a turning point in cloud interoperability or simply a convenient handshake between two giants remains to be seen. What is certain is that the market has been demanding simpler, more stable, and less painful multicloud experiences—and this announcement suggests that the providers have finally started listening.  ( 7 min )

As cloud estates grow, maintaining the integrity of Infrastructure as Code (IaC) is a critical challenge. AWS CloudFormation provides the blueprint for our infrastructure, but the reality of day-to-day operations—manual hotfixes, temporary changes, and urgent interventions—inevitably leads to configuration drift. Detecting this drift is only half the battle. The real challenge, especially when managing hundreds of stacks, is prioritizing what to fix and cutting through the noise. What if you could move beyond simple alerts and build a closed-loop system that not only detects drift but allows your team to manage, acknowledge, and prioritize it, all from within your primary communication tools? This post details the architecture for just such a solution: an intelligent, interactive drift man…  ( 8 min )

🎯 Bias–Variance Tradeoff — Visually and Practically Explained Part 6 of The Hidden Failure Point of ML Models Series If overfitting and underfitting are the symptoms, the Bias–Variance Tradeoff is the underlying physics driving them. Most explanations of bias and variance are abstract and mathematical. But in real ML engineering, this tradeoff is practical, measurable, and essential for building resilient models that survive production. This article will finally make it intuitive. Bias is how wrong your model is on average because it failed to learn the true pattern. High bias happens when: The model is too simple Features are weak Domain understanding is missing Wrong model assumptions are made Examples: Linear model trying to fit a non-linear pattern Underfitted model Too mu…  ( 9 min )

Engineering the data, architecture, and reasoning behind deep-tier supply chain visibility Most teams can only see Tier-1 suppliers. Some advanced organizations map parts of Tier-2 or Tier-3. But almost no system today can reliably expose the deeper layers—Tier-4 to Tier-10—where the majority of structural supply chain risk actually lives. This article breaks down the engineering principles, system design, and data modeling approach behind building a Tier-10 global supply graph — not as a monolithic platform, but as a foundation for modular, A2A-compatible agents that developers can integrate directly into real systems. A single product may depend on: dozens of Tier-1 suppliers hundreds of Tier-2/3 suppliers thousands of deeper-tier producers, refiners, and upstream transform nodes …  ( 8 min )

Lesson 30: Conclusion and Continuous Learning ⏱ Duration: 1 hour 🎯 Learning Objectives: Review course key points, establish long-term learning and trading system After 30 lessons, you have mastered: ✅ Complete Freqtrade usage workflow ✅ Strategy development and testing methods ✅ Risk management and mindset control ✅ Complete path from backtesting to live trading ✅ Advanced techniques (multi-timeframe, grid, ML) Now, let's review the entire learning journey and look to the future. ┌─────────────────────────────────────────────────────────┐ │ Complete Freqtrade Quantitative Trading System │ └─────────────────────────────────────────────────────────┘ Part 1: Getting Started (Lessons 1-4) ├─ Environment installation and configuration ├─ Basic commands and tools ├─ Core conc…  ( 28 min )

第 30 课：总结与持续学习 ⏱ 课时：1 小时 🎯 学习目标：回顾课程要点，建立长期学习和交易体系 经过 30 课的学习，你已经掌握了： ✅ Freqtrade 的完整使用流程 ✅ 策略开发和测试方法 ✅ 风险管理和心态控制 ✅ 从回测到实盘的完整路径 ✅ 进阶技术（多时间框架、网格、ML） 现在，让我们回顾整个学习旅程，并展望未来。 ┌─────────────────────────────────────────────────────────┐ │ Freqtrade 量化交易完整体系 │ └─────────────────────────────────────────────────────────┘ 第一部分：基础入门（第 1-4 课） ├─ 环境安装和配置 ├─ 基本命令和工具 ├─ 核心概念理解 └─ 数据下载与管理 第二部分：回测实战（第 5-10 课） ├─ 运行第一次回测 ├─ 策略性能分析 ├─ 多时间框架测试 ├─ 策略对比和选择 ├─ 时间范围测试 └─ 交易对选择 第三部分：策略优化（第 11-15 课） ├─ Hyperopt 参数优化 ├─ 策略进阶分析 ├─ 评分系统建立 ├─ 风险管理配置 └─ 组合策略构建 第四部分：实时信号（第 16-20 课） ├─ Dry-run 模拟交易 ├─ Telegram Bot 集成 ├─ Web UI 和 API ├─ 可视化分析工具 └─ 模拟交易验证 第五部分：实盘交易（第 21-25 课） ├─ 交易所 API 配置 ├─ 实盘前检查清单 ├─ 小资金实盘测试 ├─ 交易监控与调整 └─ 风险控制与心态管理 ⭐ 第六部分：进阶专题（第 26-30 课） ├─ 自定义策略开发 ├─ 多时间框架策略 ├─ 高频交…  ( 11 min )

Lesson 29: Machine Learning and Strategy Optimization ⏱ Duration: 2.5 hours 🎯 Learning Objectives: Learn to use machine learning to assist strategy development and parameter optimization Machine Learning (ML) can help us: 🔍 Discover hidden patterns in data 🎯 Optimize strategy parameters 📊 Predict price trends 🤖 Build adaptive strategies Important Reminders: Hyperopt is Freqtrade's built-in parameter optimization tool that uses machine learning algorithms to automatically find optimal parameters. What is Hyperopt? - Automated parameter search - Uses Bayesian optimization algorithms - Searches for optimal parameters within specified ranges - Scores based on backtest results What can be optimized? - Buy condition parameters (RSI thresholds, EMA periods) - Sell condition parameters - R…  ( 15 min )

Modern machine learning workflows rely heavily on pretrained models—downloaded from GitHub, HuggingFace, and countless other model hubs. This convenience comes with a growing risk: model tampering, data poisoning, and hidden backdoors embedded in .pth checkpoints. To address this problem, we built Mithridatium, a lightweight open-source framework designed to verify the integrity of pretrained neural networks before they enter production or research pipelines. Why Mithridatium? Today’s ML ecosystem assumes that pretrained models are safe. In reality, the model file itself can be a silent attack vector: Mithridatium provides a command-line workflow to evaluate these risks through model-centric defenses, inspired by academic research, but simplified for real-world use. Offline Usage Once inst…  ( 7 min )

The quiet shift happening in tech, and why side projects, digital products, and content creation are becoming essential—not optional. ⸻ We Are Entering a Different Era for Developers Over the last year, the tech landscape has changed faster than any of us expected. AI coding assistants are now mainstream, automation is accelerating, and companies are restructuring teams at a pace that would have been unthinkable just a few years ago. For many developers—especially those who have been in the industry for a while—this can feel unsettling. But for others, it’s a wake-up call to shift how we think about our careers. The truth is simple: pure employment is no longer the only pillar of a dev career. Developers who thrive from now on will be the ones who view themselves not just as employees, but as micro-entrepreneurs with skills that can be packaged, monetised, and scaled in multiple ways. A business mindset doesn’t mean starting a huge company or raising money. It simply means seeing your skills as assets and treating your output as something that can generate income outside your day job. Even small, steady streams of income create resilience in a world where tech layoffs can happen overnight. Here are the forces pushing developers in this direction: AI will keep accelerating (and will eventually handle more junior coding tasks) Companies are shrinking engineering teams, not growing them Career transitions now happen every 2–3 years, not 10 Apps, digital products, and online content cost almost nothing to produce One developer can now build and launch full products solo This isn’t a crisis. This is an opportunity — if you start early.  ( 7 min )

Musical Interlude The movie version of Wicked is in theaters right now, so I am reminded of the song For Good -- but I'm gonna link to the Broadway version, because I'm classy like that. It's relevant to programming in Perl because "I don't know if I've been changed for the better, but I have been changed for good." For part two, Lido Shuffle by Boz Scaggs. Task 1: Good Substrings The Task You are given a string. Write a script to return the number of good substrings of length three in the given string. A string is good if there are no repeated characters. Example 1: Input $str = "abcaefg", Output: 5 Good substrings of length 3: abc, bca, cae, aef and efg Example 2: Input: $str = "xyzzabc", Output: 3 Example 3: Input: $str = "aababc", Output: 1 Example 4: Input: $str = …  ( 10 min )

The Context: An Open-Source Educational Tool I currently serve as the Tech Lead for DigitalBoneBox, an open-source educational platform designed to render high-fidelity anatomical resources for anatomy students. Our architectural constraints are unique: we needed a "database" that was completely open, version-controlled, and accessible to non-technical contributors (like anatomy professors) who might want to fix a typo or add a description without touching a database console. The solution? "GitHub-as-a-Database." We store our data (JSON files and images) in a specific data branch of our public repository. The application fetches this content via the GitHub Raw API to render the UI. While this lowered the barrier to entry for contributors, it introduced a critical engineering challenge: T…  ( 8 min )

Introduction: The Moment You Realize “Coding Alone Isn’t Enough” If you’ve ever sat staring at your computer thinking, “I can build great things… why is nobody hiring me?” — you’re not alone. Many developers feel awkward when it comes to promoting themselves. You want to code, not pitch. You want clients who appreciate your work — not to chase people around like a pushy salesperson. The good news? don’t need to be salesy to attract clients. communicate your value in a human, helpful way — the same way you solve problems in your code. This article shows you exactly how. Visual Suggestion: Alt-text: A developer connecting puzzle pieces representing skills and clients. Why Selling Feels Salesy for Developers (And Why It Doesn’t Have To) Most coders grew up learning technical skills — and almo…  ( 10 min )

SwiftUI is fast — but only if you use it correctly. Over time, you’ll run into: choppy scroll performance laggy animations slow lists views refreshing too often unnecessary recomputations async work blocking UI memory spikes from images 120Hz animations dropping frames This guide shows the real-world performance rules I now follow in all my apps. These aren’t theoretical — they fix problems you actually hit when building full SwiftUI apps. Let’s make your UI buttery smooth. 🧈⚡ SwiftUI re-renders the entire View when any @State/@Observed changes. This is bad: VStack { Header() ExpensiveList(items: items) // ← huge view } .onChange(of: searchQuery) { // whole view recomputes } This is better: VStack { Header() ExpensiveList(items: items) // isolated } And…  ( 8 min )

Privoxy is a free, open-source non-caching web proxy that filters HTTP/HTTPS traffic at the application layer to boost privacy, remove ads, manage cookies, and apply custom rules for content control. Privoxy excels in user-configurable filtering without storing pages. Highlights include: Ad and tracker blocking: Targets banners, pop-ups, and web bugs for cleaner, faster browsing. Cookie and header management: Strips tracking cookies, spoofs User-Agent, and hides Referer data. Proxy chaining: Forwards to Tor or SOCKS for anonymity. Access controls: IP-based restrictions and stealth mode for secure setups. Cross-platform: Runs on Linux, Windows, macOS at https://www.privoxy.org. sudo apt update && sudo apt install privoxy -y sudo systemctl start privoxy sudo systemctl enable privoxy Config at /etc/privoxy/config. Download installer from privoxy.org, run as admin. Install service: privoxy.exe --install. Edit C:\Program Files\Privoxy\config.txt. Edit config: Uncomment/set listen-address 127.0.0.1:8118. Enable actions: actionsfile default.action and actionsfile user.action. Add logging: debug 1 and logfile logfile. Reload: sudo systemctl reload privoxy (Linux) or restart service (Windows). Set browser proxy to 127.0.0.1:8118 for HTTP/HTTPS. Test at http://config.privoxy.org/show-status/. { +block{Ads} } .* /ads/ /banner/ /doubleclick.net/ Filters common ad paths. forward-socks5t / 127.0.0.1:9050 . forward-socks5 / 127.0.0.1:9050 . Routes all traffic via Tor. listen-address 0.0.0.0:8118 permit-access 192.168.1.0/24 Serves local network; firewall essential. Perfect for privacy enthusiasts, parents, or low-bandwidth users—unlike Squid (caching-focused) or Nginx (load balancing).  ( 6 min )

Product-market fit used to be a long, painful journey. But 2025 has changed the rules of the game forever. We now live in a world of instant prototypes. design a UI in minutes generate backend logic with AI validate ideas in hours ship MVPs in days pivot in real-time test 50 variations in a week This is the fastest learning environment in startup history. But ironically, this speed has created a new problem: Most founders confuse prototype momentum with market validation. Let’s break down what product-market fit actually means in an era where prototypes are cheap, fast, and everywhere. 1. Instant Prototypes Make It Easy to Build the Wrong Thing Quickly Just because AI lets you build fast, doesn’t mean the thing you built matters. In the old world: Slow building → slower mistakes High cost …  ( 11 min )

Check out this Pen I made!  ( 6 min )

Unlocking Time's Secrets: Temporal Pattern Recognition for System Anomaly Detection Imagine your servers are chirping like crickets, each chirp a system event. How do you tell a normal chorus from a sign of impending doom buried within a symphony of events happening at different times and durations? Standard time-series analysis often overlooks the critical when and how long of state changes. The key is understanding the interplay between event sequence and the time spent in each state. We've been exploring a novel approach we call Selective Temporal Difference (STD). It's designed to pinpoint similarities between sequences of events, not just by the order in which they occur, but also by how long the system resides in each state. STD cleverly sidesteps the pitfall of forced time alignme…  ( 7 min )

So… I built something. A small browser extension that tells you when a website you’re visiting might be using your data to train AI models. Not in a dramatic way. And I’d love your help making it better. I’ve been following AI news for a while, and one thing keeps bothering me: our data is being used to train models, but we’re rarely told how, where, or when. Some platforms are clear about it. Artists. Writers. Photographers. Developers. After a while, I realized: There’s no easy way to check who’s training on your data. WTOM (WhoTrainedOnMe) is a browser extension for Chrome, Chromium-based browsers, and Firefox. When you visit a site, WTOM checks if that platform: Trains AI on user data It’s not perfect, but my goal is to give users clarity — not fear. How WTOM Works (A Lot of Manual Res…  ( 9 min )

🚀 The Essential Patterns Behind Modern AI Agents A Practical Guide for Developers, PMs, Analysts & Business Leaders ✅ Artificial Intelligence agents are quickly becoming the backbone of next-generation software systems. They automate decision-making, coordinate tasks, call APIs, analyze data, and even interact with users like mini-employees who work 24/7. Regardless of the framework you use (LangChain, LangGraph, CrewAI, LlamaIndex, AutoGPT…), the smartest AI agents rely on the same set of architectural patterns. ✅ Understanding these patterns is the difference between: Building a confusing chatbot, or Designing a reliable multi-agent system that solves real business problems. This article breaks them down in a simple, real-world, business-friendly way. 🧩 What Is an AI Agent, Real…  ( 8 min )

Link: https://receipehub.dev Transforming Recipes Into Culinary Masterpieces Effortlessly Built with the tools and technologies: HTML, CSS, Tailwindcss, Shadnui, JavaScript, localstorage, next, react, resend, RestfulAPI (dummyjson) Table of Contents Overview Features Project Index Prerequisites Installation Usage Testing Why RecipeHub? This project simplifies creating engaing culinary communities by providing seamless localstorage integration, consistent UI design, and comprehensive content managment features. The core feature includes: v3 🧑‍💻 Firebase SDK integration: Real time analytics, authentication, database, storage, enhanced web security. 🍽️ Recipe Management: Real time detailed recipe pages, sharing, favorites, and search filters to enhance user engagement. Email service: App…  ( 8 min )

O que é uma API? API significa Application Programming Interface (em português: Interface de Programação de Aplicações). Basicamente: API é um jeito de um sistema conversar com outro, trocando informações de forma organizada e seguindo regras pré-definidas. Ou seja, se um sistema quer pegar dados de outro, mandar informações, criar algo, atualizar algo… a API é quem faz essa ponte. Quando falamos de APIs como REST, elas se comunicam usando HTTP/HTTPS, o mesmo protocolo que tem no navegador. Tudo é feito através de URLs chamadas endpoints. Endpoint = endereço onde o serviço da API está disponível. : pediu → recebe algo de volta. A API responde com: dados, confirmação,ou um erro dizendo o que deu errado. E sempre vem acompanhado de um status code. 200 – OK → Deu bom. Quando você acessa um endpoint, você sempre usa um método. GET – Buscar dados POST – Enviar dados (criação de recurso) PUT – Atualizar um recurso existente PATCH – Atualizar parte de um recurso DELETE – Deletar um recurso Os formato de Dados, hoje em dia, a maioria das APIs usa JSON. { JSON é leve, fácil de ler e funciona bem com praticamente todas as linguagens. São informações adicionais que você envia na requisição. Tipo do conteúdo (JSON) Token de autenticação Idioma Permissões Sem headers, várias APIs nem deixam você acessar. Nem toda API é aberta. Muitas exigem uma maneira de provar que você tem permissão. Os mais usados: API Key Bearer Token JWT OAuth2 APIs mudam com o tempo. Por isso existe versionamento: /api/v1/clientes Exemplo Bem Simples de API com Spring Boot Você pode criar pelo Spring Initializr: https://start.spring.io/ Depois, uma API simples: @RestController Código fonte de uma api simple: https://start.spring.io/ https://www.linkedin.com/in/isaac-bessa-044a14321/  ( 7 min )

Je suis le "What's new" d'AWS de façon quasi quotidienne depuis plus de 7 ans. J'ai trouvé certaines éditions de re:Invent excitantes, d'autres décevantes.. mais j'ai rarement éprouvé le sentiment de submersion face à l'explosion d'annonces du jour. L'annonce la plus importante de la Keynote de Matt Garman ↗️ est sans doute la disponibilité immédiate de 3 agents à durée de vie longue. Jusqu'ici, l'IA agentique s'appuie sur des agents qui doivent à chaque tâche redécouvrir le contexte (comment est structuré le projet, quels profils CLI sont dispo pour qu'ils accèdent aux API, ce qu'ils ont le droit de faire ou non, les choix d'architecture) ; il y a besoin d'interactions fréquentes avec le "pilote" pour les garder "on-track". L'agent Kiro autonome↗️ se propose de résoudre cette limite av…  ( 9 min )

If there is one thing time has taught me working in IT, it is this: getting stuck with what you already know is the fastest path to being left behind. Our field evolves constantly. You do not need to learn something new every month, but you should widen your possibilities. Learning new languages, frameworks, tools or paradigms expands your technical vision and makes you more versatile to solve real problems. It is even better when your company gives you freedom to experiment with new technologies, as long as it does not turn into chaos. Choosing technology is not about what seems cool, but about what makes sense for the context of the project. In your personal projects, explore without fear because that is where real growth happens. If I were to recommend a set of technologies today for so…  ( 8 min )

Created as part of my learning experience in the ParoCyber Ethical Hacking Program. Penetration testing is one of the most exciting areas of cybersecurity, but before any testing begins, you must have clear authorization, documented scope, and well-defined rules to protect both the tester and the client. This article introduces a beginner-friendly walkthrough of what a Penetration Testing Agreement is, why it matters, and how you can use the open-source LDWIT template in your own labs, projects, or ethical hacking studies. A link to the full GitHub version (including the Agreement + SOW template + PDF) is included at the end. Note: I developed this agreement targeting my own areas of interest. This is not a concrete example; service agreements may vary greatly depending on industry and sco…  ( 9 min )

Understanding the checkpoint-based execution that makes long-running workflows possible You write an AWS Lambda function that looks like it runs continuously for hours. But Lambda functions can only run for 15 minutes. How does this work? The answer is replay - a checkpoint-based execution model that makes your function restart from the beginning on every invocation, but skip the work it's already done. It's elegant, efficient, and once you understand it, surprisingly intuitive. Here's the fundamental truth about durable functions: Your handler function re-executes from the beginning on every invocation, but completed operations return cached results from checkpoints instead of re-executing. Let's see this in action with a simple workflow: async function processOrder(event: any, ctx: Durab…  ( 11 min )

Introduction Dependabot automatically detects dependency updates and creates pull requests, but manually merging each one can be tedious. Patch updates (security fixes and bug fixes) typically have limited impact, making them safe candidates for automatic merging. This article explains how to implement a GitHub Actions workflow that automatically merges Dependabot patch updates. The following workflow automatically merges only patch updates (version-update:semver-patch) from Dependabot pull requests: name: Dependabot auto-merge on: pull_request_target: types: - opened - synchronize - reopened - ready_for_review permissions: {} defaults: run: shell: bash jobs: dependabot: runs-on: ubuntu-24.04 if: github.event.pull_request.user.login == 'd…  ( 8 min )

Many low-code platforms are fundamentally built around a CRUD model, typically offering a certain level of customization through built-in extension points (such as before-insert, after-insert, etc.). In the Nop platform, the CRUD model is not special; the built-in CrudBizModel is merely a regular BizModel, and the core of the Nop platform does not apply any special treatment to CRUD extension points. In this article, I will use CrudBizModel as an example to explain common extension approaches for implementing backend services in the Nop platform. Most service functions in CrudBizModel adopt two layers of abstraction. The upper-layer function calls the lower-layer implementation and uses parameters and callback functions to achieve customization. public PageBean findPage(@Optional @N…  ( 14 min )

Researchers at Nvidia and the University of Hong Kong have released Orchestrator, an 8-billion-parameter model that coordinates different tools and large language models (LLMs) to solve complex problems. In their experiments, Orchestrator achieved higher accuracy at a lower cost than much larger models in tool-use benchmarks, while also aligning with user preferences on which tools to use for a given query. The model was trained through ToolOrchestra, a new reinforcement learning (RL) framework for training small models to act as intelligent coordinators. The approach is based on the idea that a small "orchestrator" managing a diverse team of specialized models and tools can be more effective and efficient than a single, monolithic AI system.  The findings suggest that this composite appro…

Just a few short weeks ago, Google debuted its Gemini 3 model, claiming it scored a leadership position in multiple AI benchmarks. But the challenge with vendor-provided benchmarks is that they are just that — vendor-provided. A new vendor-neutral evaluation from Prolific, however, puts Gemini 3 at the top of the leaderboard. This isn't on a set of academic benchmarks; rather, it's on a set of real-world attributes that actual users and organizations care about.  Prolific was founded by researchers at the University of Oxford. The company delivers high-quality, reliable human data to power rigorous research and ethical AI development. The company's “HUMAINE benchmark” applies this approach by using representative human sampling and blind testing to rigorously compare AI models across a va…

Presented by Celonis When tariff rates change overnight, companies have 48 hours to model alternatives and act before competitors secure the best options. At Celosphere 2025 in Munich, enterprises demonstrated how they’re turning that chaos into competitive advantage — with quantifiable results that separate winners from losers. Vinmar International: Theglobal plastics and chemicals distributor created a real-time digital twin of its $3B supply chain, cutting default expedites by more than 20% and improving delivery agility across global operations. Florida Crystals: One of America's largest cane sugar producers, the company unlocked millions in working capital and strengthened supply chain resilience by eliminating manual rework across Finance, Procurement, and Inbound Supply. AI pilots …

One problem enterprises face is getting employees to actually use the AI agents their dev teams have built.  Google, which has already shipped many AI tools through its Workspace apps, has made Google Workspace Studio generally available to give more employees access to design, manage and share AI agents, further democratizing agentic workflows. This puts Google directly in competition with Microsoft’s Copilot and undercuts some integrations that brought OpenAI’s ChatGPT into enterprise applications.  Workspace Studio is powered by Gemini 3, and while it primarily targets business teams rather than developers, it offers builders a way to offload lower-priority agent tasks.   “We’ve all lost countless hours to the daily grind: Sifting through emails, juggling calendar logistics and chasing…

Presented by Indeed As AI continues to reshape how we work, organizations are rethinking what skills they need, how they hire, and how they retain talent. According to Indeed’s 2025 Tech Talent report, tech job postings are still down more than 30% from pre-pandemic highs, yet demand for AI expertise has never been greater. New roles are emerging almost overnight, from prompt engineers to AI operations managers, and leaders are under growing pressure to close skill gaps while supporting their teams through change. Shibani Ahuja, SVP of enterprise IT strategy at Salesforce; Matt Candy, global managing partner of generative AI strategy and transformation at IBM; and Jessica Hardeman, global head of attraction and engagement at Indeed came together for a recent roundtable conversation about…

Chatbots are widely adopted among software companies, especially those that interact heavily with customers. It is typically used for tasks such as customer support, answering questions, and providing information on websites, apps, and messaging plat...  ( 10 min )

If you’re working on complex Machine Learning projects, you’ll need a good Graphics Processing Unit (or GPU) to power everything. And Nvidia is a popular option these days, as it has great compatibility and widespread support. If you’re new to Machin...  ( 15 min )

Every time you check your smartwatch for heart rate, read the battery level of wireless earbuds, unlock a Bluetooth smart lock, or watch sensor data stream into an app, you are experiencing the result of GATT working quietly in the background. GATT i...  ( 31 min )

Model Context Protocol, or MCP, is changing how large language models connect with data and tools. Instead of treating an AI model as a black box, MCP gives it structured access to information and actions. It is like the USB-C port for AI, creating...  ( 8 min )

The state issued cease-and-desist orders to the firms to stop conducting "unlicensed online gambling" via their sports events contracts.  ( 32 min )

At the center of the upgrade is PeerDAS, a system that lets validators check small slices of data rather than entire “blobs,” reducing both costs and computational load for validators and layer-2 networks.  ( 35 min )

Sport clothing and collectibles giant Fanatics has launched Fanatics Markets, letting users trade outcomes of sports, politics and more — with crypto and IPO bets coming by 2026.  ( 32 min )

The oracle token outperformed most major cryptocurrencies as U.S. investors gained ETF access to LINK for the first time.  ( 32 min )

Difficulty and network valuation models point to BTC hovering around fair value near $90,000.  ( 32 min )

In a wide-ranging interview, Huang claims AI growth is gradual, powerful and already changing global power dynamics.  ( 32 min )

Distribution is designed to go to the ecosystem, With 30% to airdrops, 25% to growth initiatives, and 10% for liquidity and launch support.  ( 32 min )

CEO Brian Armstrong said top banks are "leaning into this as an opportunity," signaling Wall Street’s quiet embrace of crypto infrastructure.  ( 32 min )

Armed with CFTC approval, Polymarket has launched its mobile platform for sports and proposition markets under federal oversight.  ( 32 min )

The token tracked broader crypto sentiment on below-average volume, establishing an ascending trend.  ( 31 min )

The upgrade will boost throughput, keep validators efficient and, most importantly, strengthen Ethereum's value capture by putting a floor under blob fees.  ( 32 min )

Also: Anthropic On DeFi AI Agents, ETH Devs Push ZK Protocol, and Bitnomial  ( 39 min )

The Senate's process is inching forward on a mass-confirmation that would include two nominations with major crypto implications.  ( 33 min )

So-called "backwardation" — a futures price curve moving lower in value as time gets further out — can be read as a measure of stress in the market.  ( 32 min )

The new protocol, developed by Sentora and Flare Network, aims to combine XRP yield opportunity with offering protection against DeFi hacks.  ( 33 min )

The companies plan to tokenize auto loans, with the first portfolios expected to be available by early 2026.  ( 31 min )

Trading activity jumps 37% above weekly average despite modest price gains.  ( 32 min )

Built on Arbitrum, the perpetuals protocol has processed $25 billion in trading volume by offering self-custodial bets on gold, FX and other real-world markets.  ( 32 min )

Hedera gains on elevated volume while establishing support above $0.1427 during measured advance that coincides with significant institutional developments.  ( 33 min )

The world’s largest asset manager released its AI report with a bearish outlook on U.S. bonds and the country’s economy, and presented a bullish projection for crypto adoption.  ( 33 min )

In this week’s Crypto Long & Short Newsletter, Martin Bruncko writes that the next big step for stablecoins will be a credible, scalable euro-denominated stablecoin issued by the private sector, not another USD token. Then, we dive into the sharp post-holiday crypto selloff, the upcoming Fusaka upgrade, and why ETH’s role is crucial in leading any broader market recovery — with Andy Baehr’s “Vibe Check.  ( 41 min )

The company lifted STRC’s payout after the preferred stock again slipped below its $100 par value.  ( 31 min )

A recent $1 billion funding round led by Paradigm puts Kalshi co-founders Luana Lopes Lara and Tarek Mansour on the billionaire list.  ( 32 min )

STON.fi, TON's largest DeFi protocol, launched a fully onchain DAO, enabling users to vote on governance decisions and receive tokens representing voting power.  ( 32 min )

The rating agency's Tether downgrade flags redemption risk, potentially nudging institutions to higher-rated stablecoins and tokenized deposits.  ( 33 min )

Funds will be allocated to developing stablecoins, credible oracle feeds, cross-chain bridges, custody integrations, and analytics tooling, among other enhancements.  ( 32 min )

The bitcoin miner turned AI compute provider tumbled on Tuesday and is now down nearly 50% over the past month.  ( 33 min )

The Startale USD token, developed with M0, aims to power payments and rewards across the electronics giant Sony's Web3 ecosystem.  ( 32 min )

Employees of the tech giant told The Information that some divisions failed to deliver on their targets in 2025, leading to lower expectations for the year ahead.  ( 32 min )

Sui (SUI) was also a top performer, rising 6.5% from Tuesday.  ( 28 min )

Stable and Theo committed over $100 million to ULTRA, a tokenized U.S. Treasury fund managed by FundBridge Capital and Wellington Management.  ( 33 min )

Antithesis said its Series A will scale deterministic simulation testing, replaying complex failures exactly for crypto and other always-on systems.  ( 32 min )

DOT outperformed the broader crypto market as a 60% volume surge validated the breakout above a critical technical threshold.  ( 31 min )

The Blockchain Association's COO, Allie Page, is leaving to be the inaugural director of AIP, which is focused on educational events for decision makers.  ( 32 min )

The deal would rename Sinsiway as Parataxis ETH, Inc. and make it South Korea's first ether-focused treasury platform backed by U.S. institutional capital.  ( 32 min )

The sustained accumulation of capital by spot XRP ETFs is establishing XRP as the fastest-growing major crypto-asset vehicle.  ( 32 min )

Your day-ahead look for Dec. 3, 2025  ( 37 min )

A broad rally lifted major tokens on Wednesday, with bitcoin and ether bouncing and the majority of altcoins surging, even as ZEC extended a weekly slide.  ( 34 min )

The Property (Digital Assets etc) Act received Royal Assent on Tuesday, the final step of an act becoming law after being passed by the U.K. Parliament.  ( 31 min )

A removal could lead to outflows of up to $8.8 billion if other index providers follow suit because the stock is part of many passive investment products.  ( 32 min )

Babylon is also planning to introduce Bitcoin-backed DeFi insurance, letting BTC holders earn yield while underwriting risk against hacks and exploits.  ( 32 min )

Regulators have not decided whether the token will be tied to the Taiwan dollar or the U.S. dollar, a choice that will determine how deeply it tests the island’s currency controls.  ( 32 min )

IBIT options are the ninth largest in the U.S.  ( 33 min )

The new leadership role was announced by the current Binance CEO Richard Teng at Binance Blockchain Week in Dubai.  ( 32 min )

Glassnode and Fasanara’s year-end report shows record inflows, rising realized cap, and falling volatility, suggesting the latest pullback is a mid-cycle reset rather than the start of a long downturn. Present market dynamics point to a mid-cycle pullback rather than a full-blown crypto winter, Glassnode and Fasanara argued.  ( 33 min )

Key resistance levels were tested, with momentum indicators supporting continued bullish movement.  ( 33 min )

The $6,500 call option on Deribit is the most popular, with a notional open interest of over $380 million.  ( 31 min )

The recovery followed a washout in derivatives markets, where roughly $457 million in short positions were liquidated in the past 24 hours.  ( 33 min )

XRP Ledger network activity surged to multi-year highs, with 40,000 account set operations  ( 32 min )

Ether looks north after a confirmed bear trap.  ( 32 min )

The deal brings market-implied probabilities into CNN’s newsroom and introduces a Kalshi-powered ticker for segments that rely on event contracts.  ( 31 min )

OpenAI is testing another new way to expose the complicated processes at work inside large language models. Researchers at the company can make an LLM produce what they call a confession, in which the model explains how it carried out a task and (most of the time) owns up to any bad behavior. Figuring out…  ( 24 min )

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Everything you need to know about AI and coding AI has already transformed how code is written, but a new wave of autonomous systems promise to make the process even smoother and less…  ( 20 min )

In 1913, Henry Ford cut the time it took to build a Model T from 12 hours to just over 90 minutes. He accomplished this feat through a revolutionary breakthrough in process design: Instead of skilled craftsmen building a car from scratch by hand, Ford created an assembly line where standardized tasks happened in sequence,…  ( 17 min )

The holiday season is almost upon us, which means it’s time to pull out your flashiest outfits and put your best foot forward. And if you’re not quite sure how to do that, the Galaxy A17 has you covered! Not only is it a handy device for everyday use, but it also becomes a handy […] The post This Galaxy A17 Feature Might Just Make You The Best-Posing One This Festive Season appeared first on Lowyat.NET.  ( 38 min )

The Malaysian Communications and Multimedia Commission (MCMC) says child protection remains central to its mandate after identifying 957 cases involving child-related harmful content between 1 January 2024 and 30 November this year. According to the commission, platforms removed 899 of these cases (a 94% compliance rate) with social media platforms including Tumblr, TikTok and Facebook […] The post MCMC: 957 Cases Of Harmful Child-Related Content On Social Media Flagged This Year appeared first on Lowyat.NET.  ( 35 min )

Malaysia is expected to receive the first shipment of trains for the East Coast Rail Link  (ECRL) project by the end of December this year. The trains will comprise two Electric Multiple Units (EMU) for passengers, along with two electric locomotives (E-loco) for freights, and are expected to arrive at Kuantan Port. “The first set […] The post Malaysia To Take Delivery Of First ECRL Trains By End Of December appeared first on Lowyat.NET.  ( 34 min )

In addition to the Nubia Fold, the brand also launched the third generation clamshell foldable, the Flip3. It should come as no surprise that the cover screen here this time around is a lot larger. Large enough to cover the whole top half of the phone, in fact. Specifically, the Nubia Flip3 now features a […] The post Nubia Flip3 Launches In Japan; Features 4-Inch Cover Screen appeared first on Lowyat.NET.  ( 34 min )

Grab Malaysia has unveiled GrabAssist, its new dedicated service for passengers requiring mobility support and accessibility assistance, including Persons with Disabilities (PWDs), senior citizens, as well as individuals using personal mobility aids. This service aims to provide an accessible transport option for an underserved market. GrabAssist involves a collaboration with NGOs such as MFD and […] The post Grab Expands Mobility Access With GrabAssist Service appeared first on Lowyat.NET.  ( 35 min )

Nubia has had multiple clamshell-type foldables now in its Flip series of phones. But it has only recently released its first book-style foldable, dubbed simply the Fold. GSMArena found the phone on a listing by Japanese telco Y!mobile, complete with its spec sheet and price for said market. The Nubia Fold features an 8-inch 2,480 […] The post Nubia Fold Goes Official In Japan Following A Few Flip Entries appeared first on Lowyat.NET.  ( 34 min )

When Valve revealed the Steam Machine and Steam Frame last month, it willingly opened itself up to a slew of questions, with one standing out above the tide: Steam emulation on ARM-based devices, as was quietly demonstrated with the Frame. In an interview with The Verge, Pierre-Loup Griffais, one of the architects behind SteamOS and […] The post Valve’s Next Step: Steam On Mobile, Other ARM Devices appeared first on Lowyat.NET.  ( 36 min )

At this point, much has already been said about the upcoming DJI Osmo Pocket 4. The rumour mill has been churning out detail after detail on the yet-to-be-released vlogging camera, from a dual-sensor setup to the supposed presence of a second screen. Now, a new leak claims that some of the previously revealed information may […] The post No Second Screen For DJI Osmo Pocket 4, Says Leakster appeared first on Lowyat.NET.  ( 34 min )

Perodua launched its first EV, the peculiarly named QV-E, with an equally odd battery leasing plan. With the launch, the national carmaker has released a product disclosure sheet for said car and its accompanying battery leasing plan. And from it, we now know more about what it entails. If you need a refresher, the leasing […] The post Missed Lease Payments Can Lead To Perodua QV-E Being Unable To Start appeared first on Lowyat.NET.  ( 35 min )

Sony has officially introduced the Alpha 7 V, the fifth-generation model in its popular full-frame mirrorless lineup. The new camera is promised to deliver improvements across autofocus, colour accuracy, still image performance, and video capture. The Alpha 7 V features a partially stacked 33MP Exmor RS CMOS sensor and the updated BIONZ XR2 image processor, […] The post Newly Unveiled Sony Alpha 7 V Arriving In Malaysia By Mid-December 2025 appeared first on Lowyat.NET.  ( 37 min )

Malicious actors continue to adopt increasingly advanced tactics, making it more and more difficult to identify scams over the years. Now, Google is looking to address the issue by introducing a scam detection feature to its Circle to Search tool. To use the new capability, the user only has to activate Circle to Search and […] The post Circle To Search Can Now Spot Scam Messages appeared first on Lowyat.NET.  ( 34 min )

JBL is officially bringing its BandBox Solo and Trio speakers to Malaysia. The AI-powered speakers are designed specifically for musicians and their instruments. “JBL BandBox Solo is engineered for individual players who want to both simplify and level-up their practice setup without sacrificing sound quality or creative control. Despite its compact size, Solo is a […] The post JBL BandBox Solo And Trio Arriving This Month; Starts From RM1,499 appeared first on Lowyat.NET.  ( 35 min )

On top of spreading democracy across the galaxy, Helldivers 2 players on PC may also soon liberate a hefty amount of storage space. The game’s latest technical public beta on Steam includes a major optimisation update that drastically reduces its installation size, shrinking its installation by a significant 85%! In a post on the game’s […] The post Helldivers 2 Beta Liberates PC Installation Size By 85% appeared first on Lowyat.NET.  ( 35 min )

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Building a real-world client application is more than just writing code—it's about creating smooth, clean, reliable user experiences that scale in production. In this post, I'm sharing selected UI/UX previews from a recently delivered mobile app project, built completely from scratch with Flutter and Supabase. Clean Design, Flutter Implementation, and a Production-Ready User Experience I recently completed a client project where I designed and developed a production-ready mobile application tailored for job placement and talent management workflows. To respect confidentiality and protect core business logic, I’m sharing only selected UI/UX mockups and visual screens from the project. These previews highlight the design system, visual hierarchy, and real-world usability that guided the deve…  ( 7 min )

The task is to create a function to return the n-th number string in a sequence. n starts from 1. The boilerplate code function getNthNum(n) { // your code here } Start with the first number if(n === 1) return "1"; To get the next number, describe the digits of the previous ones. Count how many times the same digits appear one after the other. When it changes to a new digit, write the count down and the digit being counted. let result = "1"; for (let i = 2; i <= n; i++) { let current = ""; let count = 1; for (let j = 1; j <= result.length; j++) { if (result[j] === result[j - 1]) { count++; } else { current += count.toString() + result[j - 1]; count = 1; } } result = current; } After repeating the process n times, return the final string. return result The final code: function getNthNum(n) { // your code here if(n === 1) return "1"; let result = "1"; for(let i = 2; i <= n; i++) { let current = ""; let count = 1; for(let j = 1; j <= result.length; j++) { if(result[j] === result[j - 1]) { count++ } else { current += count.toString() + result[j - 1]; count = 1; } } result = current; } return result; } That's all folks!  ( 6 min )

🎬 Building a Movie Search App with Python + Streamlit (Using OMDb API) OMDb API is perfect for this — free, fast, and provides detailed movie information. This project includes two versions: Console Version (movie_app.py) Streamlit Web Version (movie_app_streamlit.py) 🧱 1. Project Overview The Movie Search App allows you to: Enter a movie title Fetch detailed movie information View poster, genre, plot, and rating Use either console or Streamlit web interface 📂 Project Structure movie_app/ │ ├── movie_app.py # Console version ├── movie_app_streamlit.py # Streamlit version └── README.md # (optional) 🌐 2. API Used: OMDb API 🖥️ 3. Console Version (movie_app.py) Key Features: Fetch movie data using requests Handles invalid titles gracefully Disp…  ( 7 min )

Most developers spend weeks or months building something, then rush through the launch in a single afternoon. They tweet about it, post on a few forums, and then wonder why nobody shows up. The product is solid, but everything around it is an afterthought. I've done this myself. I've also watched dozens of other developers make the same mistakes. Here's what gets forgotten most often. You launch. Something breaks. A user hits the bug, gets frustrated, and leaves. You have no idea this happened because there's no error tracking, no feedback widget, nothing. You find out three weeks later when someone finally emails you. Set up error monitoring before you launch. Sentry takes maybe 20 minutes to integrate and will save you from silent failures. But error tracking only catches crashes. It doe…  ( 8 min )

The best products I’ve shipped across WordPress, Shopify, Webflow and React had one consistent pattern: clarity always beats complexity. When you strip away unnecessary layers, everything moves faster. Teams iterate with confidence, bugs drop, and the product becomes easier to scale and maintain. Simplicity isn’t about limiting ideas it’s about creating a foundation where good engineering, clean architecture, and meaningful features can actually thrive.  ( 6 min )

The last decade has pushed e-commerce, retail, and manufacturing industries into an era of rapid transformation. Customer expectations have shifted dramatically, global supply chains have become more fragile, and the pressure for speed and accuracy has never been higher. As competition intensifies and operational costs rise, businesses are realizing that traditional fulfillment methods can no longer support the pace of modern demand. This is where the idea of a future-ready fulfillment system emerges — not just as a technical upgrade, but as a new operational philosophy. Being “future-ready” no longer means simply shipping orders faster. It means building a fulfillment structure that can absorb disruptions, scale instantly, operate with data-driven clarity, and remain stable in unpredictab…  ( 8 min )

TL;DR: I built a serverless AutoML platform that trains ML models for ~$10-25/month. Upload CSV, select target column, get a trained model. No ML expertise required. To deploy this project yourself, you'll need: AWS Account with admin access AWS CLI v2 configured (aws configure) Terraform >= 1.5 Docker installed and running Node.js 18+ and pnpm (for frontend) Python 3.11+ (for local development) ⏱️ Deployment time: ~15 minutes from clone to working platform AWS SageMaker Autopilot is powerful but expensive for prototyping. While training has a free tier (50 hours/month for 2 months), the real cost comes from real-time inference endpoints: a single ml.c5.xlarge endpoint costs ~$150/month running 24/7. I needed something simpler and cheaper for side projects. Goals: Upload CSV → Get trained …  ( 9 min )

I spent 12 hours fighting a local AI model to generate valid SQL queries. My success rate went from 40% to 100%, not by prompt engineering, but by teaching the model to learn from its own mistakes. TL;DR: • Self-correction loops beat perfect-first-time approaches for local AI Building a Retail Analytics Copilot that runs entirely on a laptop (using a quantized 24B model) sounds great for privacy, but it's a nightmare for reliability. Unlike GPTs, which follows instructions like a senior engineer, local models are like enthusiastic interns: they try hard, but they hallucinate syntax, forget schema details, and love to chat when they should be coding. My initial baseline was dismal: only 40% of generated SQL queries actually executed. The rest were plagued by syntax errors, hallucinated co…  ( 9 min )

🔍 Why Even Build Locally? 1️⃣ Expo Cloud Builds cost money Expo gives a small free quota. After that, you pay per build — which is fine for production, but not for rapid iteration or testing. Local builds = unlimited free builds. Android Studio is huge and unnecessary A full Android Studio install includes: IDE Emulators GUI tools Extras you don’t need for CI-style builds You only need the command-line SDK, build-tools, platform-tools, and NDK. My setup installs only what is required, trimming the install from 30 GB → ~3 GB. Full Setup Guide (WSL2 Ubuntu 24.04) ✔ Works for Expo, React Native CLI, EAS Build 1) Base Dependencies sudo apt update sudo apt install -y build-essential git unzip zip curl wget ca-certificates openjdk-17-jdk 2) Node 20.19.4 (matches Expo CI)…  ( 8 min )

Introduction In this tutorial, I'll walk you through how I built a semantic search engine using CocoIndex, an open-source Python library for creating powerful search experiences. If you've ever wanted to build a search feature that understands context and meaning (not just exact keyword matches), this post is for you! CocoIndex is a lightweight semantic search library that makes it easy to index and search through documents using vector embeddings. Unlike traditional keyword-based search, semantic search understands the meaning behind queries, allowing users to find relevant results even when they use different words. I needed a search solution that was: Easy to integrate - No complex setup or infrastructure required Fast - Quick indexing and search performance Semantic - Understanding c…  ( 8 min )

brkrs — a fun, playable brick-breaker game & learning playground brkrs is a real, playable Breakout/Arkanoid-style game written in Rust 🦀 using the Bevy engine. hands-on learning project, letting you explore: Spec-first development with GitHub speckit Incremental feature development through issues & PRs AI-assisted and agentic coding experiments Every feature starts as a spec, flows through an issue or PR, and ends as working Rust code. You can play the game, explore the code, and learn modern Rust/Bevy workflows all at the same time. Linus Torvalds said: “Talk is cheap. Show me the code.” brkrs lets you play, tinker, and see the specs come alive in a real game. I always wanted to rewrite my old Arkanoid/Breakout-style game, YaAC 🐧, in a modern game framework. I began by manually impl…  ( 7 min )

The modern platform for booking football pitches. Manage venues, track revenue, and book matches seamlessly. Live Demo: https://footbookr.vercel.app/ https://github.com/saidMounaim/footbookr Real-time Availability: Browse pitches and see live slot availability. Smart Booking: Filter by 5-a-side vs 7-a-side, date, and time. Digital Tickets: QR Code generation for seamless check-in at the venue. User Dashboard: Manage upcoming matches and view booking history. Social Login: One-click sign-in with Google or Email. Analytics Dashboard: Visual revenue charts, occupancy heatmaps, and KPI cards. Venue Management: Add or delete pitches with image uploads. Booking Control: View all reservations, cancel bookings, and manage schedules. User Management: View user stats and manage permissions. Framework: Next.js 16 (App Router, Server Components, Server Actions, Data Access Layer) Language: TypeScript Styling: Tailwind CSS Components: Shadcn UI (Radix UI) Database: PostgreSQL (via Prisma ORM) Authentication: BetterAuth Charts: Recharts / Shadcn Charts Icons: Lucide React Utilities: date-fns (Time), zod (Validation), react-hook-form (Forms)  ( 6 min )